ASRock B860M-X
Geekbench AI Score
6835
Single Precision Score
2566
Half Precision Score
11563
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 24 2025 09:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B860M-X |
| Motherboard | ASRock B860M-X |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5370
998.7 IPS |
|
|
Image Classification (HP)
|
100% |
844
157.0 IPS |
|
|
Image Classification (Q)
|
99% |
9600
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15940
259.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13442
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8145
9.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
44787
52.5 IPS |
|
|
Object Detection (SP)
|
100% |
4991
395.9 IPS |
|
|
Object Detection (HP)
|
100% |
1134
90.0 IPS |
|
|
Object Detection (Q)
|
86% |
11993
963.9 IPS |
|
|
Face Detection (SP)
|
100% |
14073
167.2 IPS |
|
|
Face Detection (HP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
13349
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15543
119.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3557
27.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23790
189.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31034
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20527
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28590
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5184
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3662
135.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7082
262.2 IPS |
|
|
Text Classification (SP)
|
100% |
1917
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
960
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1702
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4753
95.5 IPS |
