ASRock B860 Steel Legend WiFi
Geekbench AI Score
20859
Single Precision Score
38314
Half Precision Score
15943
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Ventangelo |
| Upload Date | December 27 2025 03:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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% |
8396
1.56 KIPS |
|
|
Image Classification (HP)
|
100% |
15301
2.85 KIPS |
|
|
Image Classification (Q)
|
99% |
7577
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15835
256.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25081
406.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14357
233.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
102941
120.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
322485
376.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
85660
100.3 IPS |
|
|
Object Detection (SP)
|
100% |
10959
869.2 IPS |
|
|
Object Detection (HP)
|
100% |
17866
1.42 KIPS |
|
|
Object Detection (Q)
|
83% |
9460
764.3 IPS |
|
|
Face Detection (SP)
|
100% |
27614
328.1 IPS |
|
|
Face Detection (HP)
|
100% |
45343
538.8 IPS |
|
|
Face Detection (Q)
|
97% |
24185
288.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
50187
386.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
102413
789.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
40753
325.8 IPS |
|
|
Style Transfer (SP)
|
100% |
156594
201.3 IPS |
|
|
Style Transfer (HP)
|
100% |
529219
680.3 IPS |
|
|
Style Transfer (Q)
|
98% |
132343
170.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28054
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53605
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21833
808.5 IPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2058
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5158
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5722
98.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2054
38.5 IPS |
