abo-gpu-server-01 deepblue deepblue BZ-4008 -[7Y37CTO1WW]-
Geekbench AI Score
181
Single Precision Score
181
Half Precision Score
132
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | abostudios |
| Upload Date | February 13 2025 03:02 AM |
| Views | 20 |
| Notes | CPU：2*intel XEON 8252c/12C/24T RAM：8*DDR4-2400 32GB GPU：8*NVIDIA Tesla T10-16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Platinum 8252C CPU @ 3.80GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | deepblue deepblue BZ-4008 -[7Y37CTO1WW]- |
| Motherboard | Lenovo -[7Y37CTO1WW]- |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) Platinum 8252C CPU @ 3.80GHz |
| Topology | 2 Processors, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 188.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (HP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (Q)
|
97% |
85
15.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
114
1.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
158
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.45 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.43 IPS |
|
|
Object Detection (Q)
|
87% |
82
6.56 IPS |
|
|
Face Detection (SP)
|
100% |
342
4.06 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.02 IPS |
|
|
Face Detection (Q)
|
97% |
265
3.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
249
1.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
253
1.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
171
1.57 IPS |
|
|
Style Transfer (SP)
|
100% |
518
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
511
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
458
0.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
116
4.30 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
93
3.43 IPS |
|
|
Text Classification (SP)
|
100% |
108
143.5 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.3 IPS |
|
|
Text Classification (Q)
|
91% |
73
97.5 IPS |
|
|
Machine Translation (SP)
|
100% |
206
3.56 IPS |
|
|
Machine Translation (HP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (Q)
|
58% |
96
2.30 IPS |
