System manufacturer System Product Name
Geekbench AI Score
1486
Single Precision Score
668
Half Precision Score
1796
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | February 12 2026 07:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-2104 CPU @ 3.20GHz |
| 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-2104 CPU @ 3.20GHz |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1107
205.9 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.6 IPS |
|
|
Image Classification (Q)
|
96% |
1533
286.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
409
6.64 IPS |
|
|
Image Segmentation (Q)
|
97% |
1362
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2112
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1717
2.00 IPS |
|
|
Pose Estimation (Q)
|
86% |
3915
4.63 IPS |
|
|
Object Detection (SP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (HP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (Q)
|
58% |
1038
113.4 IPS |
|
|
Face Detection (SP)
|
100% |
2722
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (Q)
|
96% |
3268
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2801
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
930
7.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
3834
30.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5283
6.79 IPS |
|
|
Style Transfer (HP)
|
100% |
3790
4.87 IPS |
|
|
Style Transfer (Q)
|
87% |
6938
9.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
817
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1662
61.6 IPS |
|
|
Text Classification (SP)
|
100% |
718
958.2 IPS |
|
|
Text Classification (HP)
|
100% |
380
507.8 IPS |
|
|
Text Classification (Q)
|
97% |
257
344.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
68% |
1111
21.5 IPS |
