ASRock B860M Pro-A WiFi
Geekbench AI Score
6791
Single Precision Score
9743
Half Precision Score
14998
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Soheil |
| Upload Date | January 28 2026 12:03 PM |
| Views | 2 |
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 Pro-A WiFi |
| Motherboard | ASRock B860M Pro-A WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4059
754.8 IPS |
|
|
Image Classification (HP)
|
100% |
6945
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9408
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5256
85.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3912
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8209
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
34272
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74697
87.5 IPS |
|
|
Object Detection (SP)
|
100% |
4067
322.6 IPS |
|
|
Object Detection (HP)
|
100% |
5935
470.7 IPS |
|
|
Object Detection (Q)
|
87% |
9904
794.8 IPS |
|
|
Face Detection (SP)
|
100% |
11928
141.7 IPS |
|
|
Face Detection (HP)
|
100% |
16275
193.4 IPS |
|
|
Face Detection (Q)
|
100% |
31089
369.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10421
80.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16943
130.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
32639
254.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24472
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49303
63.4 IPS |
|
|
Style Transfer (Q)
|
98% |
91377
117.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5171
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14133
521.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23569
872.9 IPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2178
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5049
87.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4466
76.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4446
76.6 IPS |
