ASRock B860M-H2
Geekbench AI Score
19352
Single Precision Score
30372
Half Precision Score
13085
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 11:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| 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% |
10234
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
12723
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
7890
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16050
260.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20112
326.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11878
193.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
51109
59.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
217998
254.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
43836
51.4 IPS |
|
|
Object Detection (SP)
|
100% |
12756
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
16198
1.28 KIPS |
|
|
Object Detection (Q)
|
87% |
9904
795.0 IPS |
|
|
Face Detection (SP)
|
100% |
29884
355.1 IPS |
|
|
Face Detection (HP)
|
100% |
40349
479.4 IPS |
|
|
Face Detection (Q)
|
97% |
20317
242.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
63720
490.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97477
751.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
35948
288.1 IPS |
|
|
Style Transfer (SP)
|
100% |
191685
246.4 IPS |
|
|
Style Transfer (HP)
|
100% |
527815
678.5 IPS |
|
|
Style Transfer (Q)
|
98% |
128923
166.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30097
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51625
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15972
591.4 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1777
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2043
35.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1354
25.4 IPS |
