ASRock B850M Steel Legend WiFi
Geekbench AI Score
7103
Single Precision Score
2833
Half Precision Score
13794
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | July 04 2025 02:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B850M Steel Legend WiFi |
| Motherboard | ASRock B850M Steel Legend WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5175
962.3 IPS |
|
|
Image Classification (HP)
|
100% |
991
184.3 IPS |
|
|
Image Classification (Q)
|
99% |
13445
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1459
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14791
240.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10306
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8358
9.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
46063
54.0 IPS |
|
|
Object Detection (SP)
|
100% |
4829
383.0 IPS |
|
|
Object Detection (HP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (Q)
|
86% |
13753
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
15971
189.8 IPS |
|
|
Face Detection (HP)
|
100% |
2734
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
14796
176.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12472
96.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3715
28.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
32776
261.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24208
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19988
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38514
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5770
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4542
167.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7092
262.6 IPS |
|
|
Text Classification (SP)
|
100% |
3529
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2546
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5440
93.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5873
118.0 IPS |
