abo-gpu-server-01 | samsung SM-A366W | Difference | |
---|---|---|---|
Single Precision | 181 | 139 | 130.2% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Half Precision | 181 | 139 | 130.2% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Quantized | 132 | 392 | 33.7% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Geekbench AI 1.2.0 | Geekbench AI 1.2.0 |
abo-gpu-server-01 | samsung SM-A366W | |
---|---|---|
AI Framework | TensorFlow Lite | TensorFlow Lite |
AI Backend | CPU | NNAPI |
AI Device | Intel(R) Xeon(R) Platinum 8252C CPU @ 3.80GHz | ARM ARMv8 |
Operating System | Ubuntu 22.04.5 LTS | Android 15 |
Model | deepblue deepblue BZ-4008 -[7Y37CTO1WW]- | samsung SM-A366W |
Processor |
Intel Xeon Platinum 8252C @ 4.50 GHz
2 Processors, 24 Cores, 48 Threads |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
Processor ID | GenuineIntel Family 6 Model 85 Stepping 7 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
Motherboard | Lenovo -[7Y37CTO1WW]- | parrot |
BIOS | Lenovo -[G1E124F-2.70]- | |
Memory | 188.55 GB | 5.16 GB |
abo-gpu-server-01 | samsung SM-A366W | Difference | |
---|---|---|---|
Image Classification (SP) | 105 | 81 | 129.6% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Image Classification (HP) | 105 | 80 | 131.2% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Image Classification (Q) | 85 | 256 | 33.2% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Image Segmentation (SP) | 156 | 111 | 140.5% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Image Segmentation (HP) | 155 | 111 | 139.6% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Image Segmentation (Q) | 114 | 300 | 38.0% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Pose Estimation (SP) | 190 | 139 | 136.7% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Pose Estimation (HP) | 190 | 139 | 136.7% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Pose Estimation (Q) | 158 | 560 | 28.2% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Object Detection (SP) | 106 | 79 | 134.2% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Object Detection (HP) | 106 | 79 | 134.2% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Object Detection (Q) | 82 | 267 | 30.7% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Face Detection (SP) | 342 | 232 | 147.4% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Face Detection (HP) | 338 | 233 | 145.1% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Face Detection (Q) | 265 | 619 | 42.8% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Depth Estimation (SP) | 249 | 184 | 135.3% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Depth Estimation (HP) | 253 | 184 | 137.5% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Depth Estimation (Q) | 171 | 520 | 32.9% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Style Transfer (SP) | 518 | 335 | 154.6% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Style Transfer (HP) | 511 | 335 | 152.5% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Style Transfer (Q) | 458 | 1050 | 43.6% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Image Super-Resolution (SP) | 117 | 87 | 134.5% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Image Super-Resolution (HP) | 116 | 87 | 133.3% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Image Super-Resolution (Q) | 93 | 331 | 28.1% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Text Classification (SP) | 108 | 113 | 95.6% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Text Classification (HP) | 112 | 113 | 99.1% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Text Classification (Q) | 73 | 276 | 26.4% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Machine Translation (SP) | 206 | 198 | 104.0% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Machine Translation (HP) | 208 | 198 | 105.1% |
abo-gpu-server-01 | |||
samsung SM-A366W | |||
Machine Translation (Q) | 96 | 246 | 39.0% |
abo-gpu-server-01 | |||
samsung SM-A366W |