ASRock B860M-STX
Geekbench AI Score
2091
Single Precision Score
2779
Half Precision Score
1453
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | March 07 2026 07:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B860M-STX |
| Motherboard | ASRock B860M-STX |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1431
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
1867
347.2 IPS |
|
|
Image Classification (Q)
|
99% |
903
168.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1043
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
818
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4196
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
6509
7.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
3708
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
99% |
1845
146.7 IPS |
|
|
Object Detection (Q)
|
85% |
1108
89.2 IPS |
|
|
Face Detection (SP)
|
100% |
2918
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2800
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
1914
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4030
31.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7302
56.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3020
24.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11879
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14860
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9256
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1943
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2794
103.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1481
54.8 IPS |
|
|
Text Classification (SP)
|
86% |
676
913.8 IPS |
|
|
Text Classification (HP)
|
99% |
605
807.9 IPS |
|
|
Text Classification (Q)
|
84% |
354
480.6 IPS |
|
|
Machine Translation (SP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
949
16.3 IPS |
|
|
Machine Translation (Q)
|
70% |
495
9.28 IPS |
