ASRock B860M-STX
Geekbench AI Score
4937
Single Precision Score
9806
Half Precision Score
15132
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | March 07 2026 07:48 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
3074
571.6 IPS |
|
|
Image Classification (HP)
|
100% |
7051
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
10081
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3803
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5697
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
33907
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73860
86.5 IPS |
|
|
Object Detection (SP)
|
100% |
2879
228.4 IPS |
|
|
Object Detection (HP)
|
100% |
6034
478.7 IPS |
|
|
Object Detection (Q)
|
87% |
9981
801.1 IPS |
|
|
Face Detection (SP)
|
100% |
8245
98.0 IPS |
|
|
Face Detection (HP)
|
100% |
16081
191.1 IPS |
|
|
Face Detection (Q)
|
100% |
31114
369.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7522
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17725
136.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
32649
254.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16841
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50346
64.7 IPS |
|
|
Style Transfer (Q)
|
98% |
93181
120.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3579
132.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14263
526.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23661
876.2 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2202
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4268
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4456
76.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4516
77.8 IPS |
