ASRock B860M-H2
Geekbench AI Score
4869
Single Precision Score
1969
Half Precision Score
9259
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 11:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B860M-H2 |
| Motherboard | ASRock B860M-H2 |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245KF |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3860
717.8 IPS |
|
|
Image Classification (HP)
|
100% |
739
137.4 IPS |
|
|
Image Classification (Q)
|
99% |
8525
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11538
187.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7369
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
5265
6.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
28245
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
3311
262.6 IPS |
|
|
Object Detection (HP)
|
100% |
932
74.0 IPS |
|
|
Object Detection (Q)
|
86% |
8411
676.0 IPS |
|
|
Face Detection (SP)
|
100% |
9257
110.0 IPS |
|
|
Face Detection (HP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
11473
136.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9640
74.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2666
20.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
18058
144.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20143
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14417
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21889
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2666
98.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6573
243.4 IPS |
|
|
Text Classification (SP)
|
100% |
1954
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1681
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2641
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3955
79.5 IPS |
