ASRock B860M Pro-A WiFi
Geekbench AI Score
6768
Single Precision Score
2397
Half Precision Score
11054
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Soheil |
| Upload Date | January 28 2026 11:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
5630
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (Q)
|
99% |
9181
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2783
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14410
234.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13586
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8105
9.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
43900
51.5 IPS |
|
|
Object Detection (SP)
|
100% |
4816
382.0 IPS |
|
|
Object Detection (HP)
|
100% |
1136
90.1 IPS |
|
|
Object Detection (Q)
|
86% |
11295
907.7 IPS |
|
|
Face Detection (SP)
|
100% |
13534
160.8 IPS |
|
|
Face Detection (HP)
|
100% |
2160
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
13756
164.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15632
120.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3488
26.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
22223
177.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32610
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19808
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28217
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5122
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3589
132.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7162
265.2 IPS |
|
|
Text Classification (SP)
|
100% |
1821
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1042
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1653
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3059
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4069
81.8 IPS |
