To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
1798
Single Precision Score
721
Half Precision Score
1562
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 10 2025 06:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2697 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | X79 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1516
281.9 IPS |
|
|
Image Classification (HP)
|
100% |
254
47.2 IPS |
|
|
Image Classification (Q)
|
96% |
1335
249.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
1662
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3165
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2278
2.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
2984
3.53 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
58% |
970
106.0 IPS |
|
|
Face Detection (SP)
|
100% |
2923
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (Q)
|
96% |
2510
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3855
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
989
7.62 IPS |
|
|
Depth Estimation (Q)
|
78% |
2850
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7321
9.41 IPS |
|
|
Style Transfer (HP)
|
100% |
6013
7.73 IPS |
|
|
Style Transfer (Q)
|
87% |
5277
6.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1331
49.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1326
49.1 IPS |
|
|
Text Classification (SP)
|
100% |
691
922.0 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.1 IPS |
|
|
Text Classification (Q)
|
97% |
252
337.9 IPS |
|
|
Machine Translation (SP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (Q)
|
68% |
1071
20.7 IPS |
