To be filled by O.E.M. To be filled by O.E.M.
Geekbench AI Score
898
Single Precision Score
420
Half Precision Score
1003
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 13 2025 11:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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. To be filled by O.E.M. |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2620 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
554
103.0 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.3 IPS |
|
|
Image Classification (Q)
|
96% |
866
161.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
1039
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1539
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1047
1.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
1880
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (Q)
|
58% |
634
69.3 IPS |
|
|
Face Detection (SP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
515
6.12 IPS |
|
|
Face Detection (Q)
|
96% |
1784
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1539
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
490
3.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
1784
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5509
7.08 IPS |
|
|
Style Transfer (HP)
|
100% |
2677
3.44 IPS |
|
|
Style Transfer (Q)
|
87% |
3212
4.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
864
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
413
550.9 IPS |
|
|
Text Classification (HP)
|
100% |
198
263.7 IPS |
|
|
Text Classification (Q)
|
97% |
161
215.1 IPS |
|
|
Machine Translation (SP)
|
100% |
564
9.72 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (Q)
|
68% |
678
13.1 IPS |
