ASRock B860M-H2
Geekbench AI Score
5064
Single Precision Score
10239
Half Precision Score
15728
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 11:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B860M-H2 |
| Motherboard | ASRock B860M-H2 |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245KF |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3180
591.3 IPS |
|
|
Image Classification (HP)
|
100% |
7325
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10097
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4030
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3427
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5945
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
34097
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74576
87.4 IPS |
|
|
Object Detection (SP)
|
100% |
2915
231.2 IPS |
|
|
Object Detection (HP)
|
100% |
6158
488.5 IPS |
|
|
Object Detection (Q)
|
88% |
10365
830.9 IPS |
|
|
Face Detection (SP)
|
100% |
7873
93.5 IPS |
|
|
Face Detection (HP)
|
100% |
18236
216.7 IPS |
|
|
Face Detection (Q)
|
100% |
33173
394.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7573
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18133
139.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
33672
262.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17590
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52768
67.8 IPS |
|
|
Style Transfer (Q)
|
98% |
93522
120.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3639
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16212
598.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31316
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2167
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4282
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4823
83.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4886
84.2 IPS |
