Generic
Geekbench AI Score
3904
Single Precision Score
1068
Half Precision Score
3957
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | abufrejoval |
| Upload Date | October 17 2025 09:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2696 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Generic |
| Motherboard | ASRock X99 Extreme4 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2696 v4 |
| Topology | 1 Processor, 22 Cores, 44 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 22 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3142
584.4 IPS |
|
|
Image Classification (HP)
|
100% |
312
58.0 IPS |
|
|
Image Classification (Q)
|
96% |
3356
626.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
511
8.28 IPS |
|
|
Image Segmentation (Q)
|
97% |
4845
78.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9874
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5522
6.44 IPS |
|
|
Pose Estimation (Q)
|
86% |
10707
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
3224
255.8 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
58% |
2555
279.2 IPS |
|
|
Face Detection (SP)
|
100% |
9278
110.2 IPS |
|
|
Face Detection (HP)
|
100% |
963
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
6064
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10604
81.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1386
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9269
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19785
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12522
16.1 IPS |
|
|
Style Transfer (Q)
|
87% |
13676
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2270
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2805
103.9 IPS |
|
|
Text Classification (SP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
412
549.6 IPS |
|
|
Text Classification (Q)
|
97% |
612
820.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1425
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (Q)
|
68% |
1605
31.0 IPS |
