System manufacturer System Product Name
Geekbench AI Score
2260
Single Precision Score
813
Half Precision Score
1718
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | October 26 2025 07:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2697 v2 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. RAMPAGE IV FORMULA |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1809
336.5 IPS |
|
|
Image Classification (HP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (Q)
|
96% |
1579
294.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (Q)
|
97% |
972
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3818
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2652
3.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
3538
4.18 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
58% |
1144
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
4385
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
3308
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4757
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1139
8.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
3327
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8912
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7112
9.14 IPS |
|
|
Style Transfer (Q)
|
87% |
6547
8.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1235
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1258
46.6 IPS |
|
|
Text Classification (SP)
|
100% |
730
974.3 IPS |
|
|
Text Classification (HP)
|
100% |
341
454.7 IPS |
|
|
Text Classification (Q)
|
97% |
302
404.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1309
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (Q)
|
68% |
1324
25.6 IPS |
