ASRock B860M Pro RS WiFi
Geekbench AI Score
6806
Single Precision Score
2577
Half Precision Score
10982
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | g0tchi |
| Upload Date | November 22 2025 06:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B860M Pro RS WiFi |
| Motherboard | ASRock B860M Pro RS WiFi |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| 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% |
4925
916.0 IPS |
|
|
Image Classification (HP)
|
100% |
859
159.8 IPS |
|
|
Image Classification (Q)
|
99% |
6918
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16165
262.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14145
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8435
9.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
45089
52.9 IPS |
|
|
Object Detection (SP)
|
100% |
4728
375.0 IPS |
|
|
Object Detection (HP)
|
100% |
1140
90.5 IPS |
|
|
Object Detection (Q)
|
86% |
11108
892.8 IPS |
|
|
Face Detection (SP)
|
100% |
14657
174.2 IPS |
|
|
Face Detection (HP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
12965
154.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15710
121.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3483
26.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
23120
184.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31435
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20799
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26538
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5234
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3468
128.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7207
266.9 IPS |
|
|
Text Classification (SP)
|
100% |
1929
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1063
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1746
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3080
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4554
91.5 IPS |
