System manufacturer System Product Name
Geekbench AI Score
1329
Single Precision Score
599
Half Precision Score
1600
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | December 08 2025 09:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-2102 CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS C422-ACE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) W-2102 CPU @ 2.90GHz |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
985
183.2 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (Q)
|
96% |
1389
259.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
1206
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1853
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1510
1.76 IPS |
|
|
Pose Estimation (Q)
|
86% |
3440
4.07 IPS |
|
|
Object Detection (SP)
|
100% |
967
76.7 IPS |
|
|
Object Detection (HP)
|
100% |
293
23.3 IPS |
|
|
Object Detection (Q)
|
58% |
927
101.3 IPS |
|
|
Face Detection (SP)
|
100% |
2496
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.30 IPS |
|
|
Face Detection (Q)
|
96% |
2880
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2481
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
832
6.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
3348
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4668
6.00 IPS |
|
|
Style Transfer (HP)
|
100% |
3332
4.28 IPS |
|
|
Style Transfer (Q)
|
87% |
6247
8.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
914
33.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
723
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1479
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.7 IPS |
|
|
Text Classification (HP)
|
100% |
329
438.9 IPS |
|
|
Text Classification (Q)
|
97% |
231
309.7 IPS |
|
|
Machine Translation (SP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
347
5.98 IPS |
|
|
Machine Translation (Q)
|
68% |
1003
19.4 IPS |
