Generic
Geekbench AI Score
1881
Single Precision Score
898
Half Precision Score
2079
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 16 2025 08:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1260L v5 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H110 Pro BTC+ |
| Power Plan | Hg prestanda |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1260L v5 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1438
267.5 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.2 IPS |
|
|
Image Classification (Q)
|
96% |
1958
365.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
495
8.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
1122
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2965
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2445
2.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
4888
5.78 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
58% |
1215
132.7 IPS |
|
|
Face Detection (SP)
|
100% |
2403
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
906
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
3667
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3753
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1234
9.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
4669
37.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6900
8.87 IPS |
|
|
Style Transfer (HP)
|
100% |
5410
6.95 IPS |
|
|
Style Transfer (Q)
|
87% |
8202
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1182
43.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1673
62.0 IPS |
|
|
Text Classification (SP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
554
739.9 IPS |
|
|
Text Classification (Q)
|
97% |
366
490.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (Q)
|
68% |
1346
26.0 IPS |
