Generic
Geekbench AI Score
1606
Single Precision Score
662
Half Precision Score
1951
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | klcs1998 |
| Upload Date | October 29 2025 06:01 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2650 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Generic |
| Motherboard | ASRock X99X Killer |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2650 v4 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1111
206.5 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (Q)
|
96% |
1736
324.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
689
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
2038
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3688
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2719
3.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
5452
6.45 IPS |
|
|
Object Detection (SP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (HP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (Q)
|
58% |
1177
128.6 IPS |
|
|
Face Detection (SP)
|
100% |
2614
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (Q)
|
96% |
3489
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3763
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
944
7.27 IPS |
|
|
Depth Estimation (Q)
|
78% |
4402
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8272
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
5888
7.57 IPS |
|
|
Style Transfer (Q)
|
87% |
6120
7.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1076
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1844
68.3 IPS |
|
|
Text Classification (SP)
|
100% |
510
681.1 IPS |
|
|
Text Classification (HP)
|
100% |
263
351.4 IPS |
|
|
Text Classification (Q)
|
97% |
229
306.9 IPS |
|
|
Machine Translation (SP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (Q)
|
68% |
890
17.2 IPS |
