ASRock B860M LiveMixer WiFi
Geekbench AI Score
3673
Single Precision Score
4895
Half Precision Score
2635
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 03 2025 02:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B860M LiveMixer WiFi |
| Motherboard | ASRock B860M LiveMixer WiFi |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2761
513.5 IPS |
|
|
Image Classification (HP)
|
100% |
3535
657.5 IPS |
|
|
Image Classification (Q)
|
99% |
1923
358.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5133
83.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1549
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8988
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13129
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
7801
9.14 IPS |
|
|
Object Detection (SP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (HP)
|
99% |
3240
257.7 IPS |
|
|
Object Detection (Q)
|
85% |
1987
159.9 IPS |
|
|
Face Detection (SP)
|
100% |
5064
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
5806
69.0 IPS |
|
|
Face Detection (Q)
|
97% |
3407
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8120
62.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13953
107.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6120
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25237
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31032
39.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19584
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3919
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2794
103.5 IPS |
|
|
Text Classification (SP)
|
86% |
771
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
676
902.7 IPS |
|
|
Text Classification (Q)
|
84% |
478
648.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (Q)
|
70% |
642
12.0 IPS |
