ASRock B860M-STX
Geekbench AI Score
4493
Single Precision Score
2012
Half Precision Score
8564
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Trinity33R |
| Upload Date | March 07 2026 07:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B860M-STX |
| Motherboard | ASRock B860M-STX |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3403
632.8 IPS |
|
|
Image Classification (HP)
|
100% |
692
128.7 IPS |
|
|
Image Classification (Q)
|
99% |
7811
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10115
164.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6931
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
5721
6.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
25079
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
3177
252.0 IPS |
|
|
Object Detection (HP)
|
100% |
906
71.9 IPS |
|
|
Object Detection (Q)
|
86% |
7834
629.6 IPS |
|
|
Face Detection (SP)
|
100% |
8909
105.9 IPS |
|
|
Face Detection (HP)
|
100% |
2044
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
10201
121.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9109
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2866
22.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16377
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16370
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13734
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22130
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3242
119.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2583
95.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6368
235.8 IPS |
|
|
Text Classification (SP)
|
100% |
1813
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1610
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2616
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3610
72.5 IPS |
