ASRock B860M Pro RS WiFi
Geekbench AI Score
6951
Single Precision Score
2650
Half Precision Score
11392
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | g0tchi |
| Upload Date | November 22 2025 06:10 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% |
5261
978.3 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.6 IPS |
|
|
Image Classification (Q)
|
99% |
9218
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2543
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16013
260.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14638
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8627
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
46278
54.3 IPS |
|
|
Object Detection (SP)
|
100% |
5307
421.0 IPS |
|
|
Object Detection (HP)
|
100% |
1157
91.7 IPS |
|
|
Object Detection (Q)
|
86% |
11732
942.8 IPS |
|
|
Face Detection (SP)
|
100% |
15159
180.1 IPS |
|
|
Face Detection (HP)
|
100% |
2614
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
13454
160.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16447
126.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3665
28.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
23125
184.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33319
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22000
28.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28693
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5283
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3685
136.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7335
271.6 IPS |
|
|
Text Classification (SP)
|
100% |
1876
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1073
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1539
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3079
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1518
26.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4561
91.7 IPS |
