System manufacturer System Product Name
Geekbench AI Score
1654
Single Precision Score
1656
Half Precision Score
2637
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | December 08 2025 09:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1002
186.3 IPS |
|
|
Image Classification (HP)
|
100% |
997
185.4 IPS |
|
|
Image Classification (Q)
|
100% |
1698
315.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1872
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1866
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1863
2.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
3698
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (HP)
|
100% |
989
78.4 IPS |
|
|
Object Detection (Q)
|
87% |
1727
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
2897
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (Q)
|
97% |
4573
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2567
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2583
19.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
4415
34.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5129
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
5132
6.60 IPS |
|
|
Style Transfer (Q)
|
98% |
9813
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1146
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1144
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2198
81.4 IPS |
|
|
Text Classification (SP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (Q)
|
91% |
1096
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1664
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1681
29.0 IPS |
