ASRock B860M-STX
Geekbench AI Score
3199
Single Precision Score
5088
Half Precision Score
7906
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | March 07 2026 07:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
2062
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
3513
653.3 IPS |
|
|
Image Classification (Q)
|
100% |
5207
968.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3913
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5667
91.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5478
6.39 IPS |
|
|
Pose Estimation (HP)
|
99% |
5303
6.21 IPS |
|
|
Pose Estimation (Q)
|
97% |
17294
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
99% |
3145
249.5 IPS |
|
|
Object Detection (Q)
|
88% |
5323
426.6 IPS |
|
|
Face Detection (SP)
|
100% |
4958
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
9259
110.0 IPS |
|
|
Face Detection (Q)
|
100% |
13810
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6330
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11409
88.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
13700
106.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14708
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18665
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39112
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2500
92.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4775
176.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8103
300.1 IPS |
|
|
Text Classification (SP)
|
71% |
1167
1.69 KIPS |
|
|
Text Classification (HP)
|
71% |
2051
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2229
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1727
29.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2631
45.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2629
45.4 IPS |
