ASRock B860M-H2
Geekbench AI Score
6265
Single Precision Score
2328
Half Precision Score
10466
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 22 2025 05:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B860M-H2 |
| Motherboard | ASRock B860M-H2 |
| Power Plan | Ultimative Leistung |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5251
976.6 IPS |
|
|
Image Classification (HP)
|
100% |
776
144.3 IPS |
|
|
Image Classification (Q)
|
99% |
9133
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14585
237.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12858
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7281
8.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
41310
48.4 IPS |
|
|
Object Detection (SP)
|
100% |
4469
354.5 IPS |
|
|
Object Detection (HP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (Q)
|
86% |
10856
872.5 IPS |
|
|
Face Detection (SP)
|
100% |
13395
159.2 IPS |
|
|
Face Detection (HP)
|
100% |
2329
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
11919
142.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15112
116.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3227
24.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
22165
176.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28663
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19027
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26523
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4747
175.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3391
125.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6165
228.3 IPS |
|
|
Text Classification (SP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
925
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1512
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2817
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4042
81.2 IPS |
