ASRock B860M Pro-A WiFi
Geekbench AI Score
19937
Single Precision Score
36512
Half Precision Score
15314
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Soheil |
| Upload Date | January 28 2026 11:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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% |
8089
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
14205
2.64 KIPS |
|
|
Image Classification (Q)
|
99% |
7179
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15405
249.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24233
392.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13975
227.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
99973
116.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
311097
363.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
82683
96.9 IPS |
|
|
Object Detection (SP)
|
100% |
10445
828.5 IPS |
|
|
Object Detection (HP)
|
100% |
16963
1.35 KIPS |
|
|
Object Detection (Q)
|
83% |
9002
727.3 IPS |
|
|
Face Detection (SP)
|
100% |
26251
311.9 IPS |
|
|
Face Detection (HP)
|
100% |
44791
532.2 IPS |
|
|
Face Detection (Q)
|
97% |
23695
282.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
47799
368.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98072
755.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
38419
307.2 IPS |
|
|
Style Transfer (SP)
|
100% |
151495
194.7 IPS |
|
|
Style Transfer (HP)
|
100% |
513627
660.3 IPS |
|
|
Style Transfer (Q)
|
98% |
128613
165.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26170
966.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52559
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20728
767.5 IPS |
|
|
Text Classification (SP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1968
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4956
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5083
87.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1990
37.3 IPS |
