ASRock B860 Steel Legend WiFi
Geekbench AI Score
5945
Single Precision Score
10116
Half Precision Score
15512
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Ventangelo |
| Upload Date | December 27 2025 03:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B860 Steel Legend WiFi |
| Motherboard | ASRock B860 Steel Legend WiFi |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3623
673.7 IPS |
|
|
Image Classification (HP)
|
100% |
7205
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10021
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4990
80.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2927
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3953
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6913
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
34646
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
75518
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
3464
274.8 IPS |
|
|
Object Detection (HP)
|
100% |
6254
496.1 IPS |
|
|
Object Detection (Q)
|
87% |
10221
820.3 IPS |
|
|
Face Detection (SP)
|
100% |
9825
116.7 IPS |
|
|
Face Detection (HP)
|
100% |
17345
206.1 IPS |
|
|
Face Detection (Q)
|
100% |
32436
385.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8646
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18852
145.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34942
271.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20251
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52494
67.5 IPS |
|
|
Style Transfer (Q)
|
98% |
96463
124.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4354
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14433
532.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24204
896.4 IPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2216
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4628
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4490
77.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4501
77.5 IPS |
