Default string Default string
Geekbench AI Score
562
Single Precision Score
559
Half Precision Score
381
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | November 13 2024 02:40 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N200 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel N200 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (Q)
|
99% |
260
48.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
306
4.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
629
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
627
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
542
0.63 IPS |
|
|
Object Detection (SP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (HP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
85% |
251
20.2 IPS |
|
|
Face Detection (SP)
|
100% |
781
9.29 IPS |
|
|
Face Detection (HP)
|
100% |
788
9.37 IPS |
|
|
Face Detection (Q)
|
97% |
605
7.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
708
5.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
701
5.40 IPS |
|
|
Depth Estimation (Q)
|
63% |
486
4.56 IPS |
|
|
Style Transfer (SP)
|
100% |
1153
1.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1156
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
1252
1.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
355
13.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
304
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
505
674.7 IPS |
|
|
Text Classification (HP)
|
100% |
505
673.6 IPS |
|
|
Text Classification (Q)
|
92% |
242
325.5 IPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
58% |
224
5.26 IPS |
