System manufacturer System Product Name
Geekbench AI Score
855
Single Precision Score
359
Half Precision Score
1061
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | February 10 2026 01:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Bronze 3106 |
| System Information | |
|---|---|
| Operating System | Windows 10 Enterprise N LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG DOMINUS EXTREME |
| CPU Information | |
|---|---|
| Name | Intel Xeon Bronze 3106 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
737
137.0 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (Q)
|
96% |
930
173.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
1123
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1456
1.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1207
1.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
2703
3.19 IPS |
|
|
Object Detection (SP)
|
100% |
731
58.0 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (Q)
|
58% |
656
71.6 IPS |
|
|
Face Detection (SP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (Q)
|
96% |
2041
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1902
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
544
4.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
2495
19.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3730
4.80 IPS |
|
|
Style Transfer (HP)
|
100% |
2694
3.46 IPS |
|
|
Style Transfer (Q)
|
87% |
3147
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
247
9.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
900
33.4 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.6 IPS |
|
|
Text Classification (HP)
|
100% |
141
188.8 IPS |
|
|
Text Classification (Q)
|
97% |
127
170.3 IPS |
|
|
Machine Translation (SP)
|
100% |
539
9.28 IPS |
|
|
Machine Translation (HP)
|
100% |
217
3.73 IPS |
|
|
Machine Translation (Q)
|
68% |
534
10.3 IPS |
