Unknown
Geekbench AI Score
2840
Single Precision Score
902
Half Precision Score
2514
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 08 2025 08:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2698 v3 |
| System Information | |
|---|---|
| Operating System | Windows 6.2 (64-bit) |
| Model | Unknown |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2698 v3 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1904
354.2 IPS |
|
|
Image Classification (HP)
|
100% |
258
48.0 IPS |
|
|
Image Classification (Q)
|
96% |
2561
478.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
1347
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6487
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4527
5.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
7435
8.79 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (Q)
|
58% |
1880
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
5860
69.6 IPS |
|
|
Face Detection (HP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (Q)
|
96% |
4774
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8037
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1142
8.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
6716
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13172
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11062
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
11083
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1827
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1681
62.3 IPS |
|
|
Text Classification (SP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
364
486.4 IPS |
|
|
Text Classification (Q)
|
97% |
256
343.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (Q)
|
68% |
1372
26.5 IPS |
