ASRock B860M LiveMixer WiFi
Geekbench AI Score
5538
Single Precision Score
8959
Half Precision Score
13807
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 03 2025 02:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3741
695.8 IPS |
|
|
Image Classification (HP)
|
100% |
5961
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8089
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3840
62.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8355
135.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10751
174.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11628
13.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
10978
12.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
37321
43.7 IPS |
|
|
Object Detection (SP)
|
100% |
3460
274.4 IPS |
|
|
Object Detection (HP)
|
100% |
5727
454.3 IPS |
|
|
Object Detection (Q)
|
88% |
9649
773.2 IPS |
|
|
Face Detection (SP)
|
100% |
7977
94.8 IPS |
|
|
Face Detection (HP)
|
100% |
16008
190.2 IPS |
|
|
Face Detection (Q)
|
100% |
25628
304.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12036
92.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
20861
161.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
25443
197.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28672
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40240
51.7 IPS |
|
|
Style Transfer (Q)
|
98% |
87554
112.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5148
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8964
331.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14614
541.2 IPS |
|
|
Text Classification (SP)
|
71% |
1611
2.33 KIPS |
|
|
Text Classification (HP)
|
71% |
2413
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
2613
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2058
35.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3661
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3690
63.8 IPS |
