ASRock B850M Pro-A WiFi
Geekbench AI Score
39159
Single Precision Score
66052
Half Precision Score
29366
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 10:03 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B850M Pro-A WiFi |
| Motherboard | ASRock B850M Pro-A WiFi |
| Power Plan | Hchstleistung |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15220
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
22297
4.15 KIPS |
|
|
Image Classification (Q)
|
100% |
13217
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29982
486.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
44148
715.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
27343
444.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
244093
284.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
775296
904.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
207311
242.8 IPS |
|
|
Object Detection (SP)
|
100% |
20436
1.62 KIPS |
|
|
Object Detection (HP)
|
100% |
31443
2.49 KIPS |
|
|
Object Detection (Q)
|
86% |
17350
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
61100
726.0 IPS |
|
|
Face Detection (HP)
|
100% |
90997
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
49402
589.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
93993
724.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
178359
1.37 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69330
553.6 IPS |
|
|
Style Transfer (SP)
|
100% |
360863
463.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1191634
1.53 KIPS |
|
|
Style Transfer (Q)
|
98% |
314673
405.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59380
2.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91677
3.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44328
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4930
6.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2422
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
7551
130.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7537
129.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3171
59.5 IPS |
