ASRock B860M Pro-A WiFi
Geekbench AI Score
6567
Single Precision Score
4818
Half Precision Score
16365
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Soheil |
| Upload Date | January 28 2026 12:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
4181
777.5 IPS |
|
|
Image Classification (HP)
|
100% |
3222
599.3 IPS |
|
|
Image Classification (Q)
|
100% |
10710
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5477
88.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2592
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12787
207.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8107
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
5583
6.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
29770
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
3796
301.1 IPS |
|
|
Object Detection (HP)
|
100% |
3048
241.7 IPS |
|
|
Object Detection (Q)
|
88% |
11448
917.7 IPS |
|
|
Face Detection (SP)
|
100% |
10613
126.1 IPS |
|
|
Face Detection (HP)
|
100% |
9096
108.1 IPS |
|
|
Face Detection (Q)
|
100% |
29258
347.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9747
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7495
57.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
29218
227.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21860
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15114
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
85125
109.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5007
184.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3548
131.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16208
600.2 IPS |
|
|
Text Classification (SP)
|
100% |
3757
5.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2555
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
5240
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4980
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5082
87.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4777
82.3 IPS |
