Generic
Geekbench AI Score
815
Single Precision Score
290
Half Precision Score
1214
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 06:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N97 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Industrial NUC-N97 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel N97 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (HP)
|
100% |
78
14.6 IPS |
|
|
Image Classification (Q)
|
99% |
808
150.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
920
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
785
0.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
2415
2.83 IPS |
|
|
Object Detection (SP)
|
100% |
486
38.6 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.13 IPS |
|
|
Object Detection (Q)
|
88% |
552
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
938
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
157
1.87 IPS |
|
|
Face Detection (Q)
|
97% |
1440
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1437
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
404
3.11 IPS |
|
|
Depth Estimation (Q)
|
76% |
1883
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2820
3.63 IPS |
|
|
Style Transfer (HP)
|
100% |
2044
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4309
5.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
610
22.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1013
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
544
726.1 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.4 IPS |
|
|
Text Classification (Q)
|
97% |
686
919.3 IPS |
|
|
Machine Translation (SP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (Q)
|
60% |
868
19.4 IPS |
