To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
1559
Single Precision Score
696
Half Precision Score
1350
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | crylessengine |
| Upload Date | October 17 2025 12:09 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2667 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | To be filled by O.E.M. Intel X79 |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v2 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.29 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1160
215.7 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.0 IPS |
|
|
Image Classification (Q)
|
96% |
1144
213.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
1289
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2047
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1668
1.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
2305
2.73 IPS |
|
|
Object Detection (SP)
|
100% |
1165
92.4 IPS |
|
|
Object Detection (HP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (Q)
|
58% |
771
84.2 IPS |
|
|
Face Detection (SP)
|
100% |
2196
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
757
9.00 IPS |
|
|
Face Detection (Q)
|
96% |
1983
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3212
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
999
7.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
2403
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5673
7.29 IPS |
|
|
Style Transfer (HP)
|
100% |
4701
6.04 IPS |
|
|
Style Transfer (Q)
|
87% |
4395
5.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1165
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
944
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1175
43.5 IPS |
|
|
Text Classification (SP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
358
478.1 IPS |
|
|
Text Classification (Q)
|
97% |
282
377.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.67 IPS |
|
|
Machine Translation (Q)
|
68% |
1106
21.4 IPS |
