ASRock B650M Pro RS WiFi
Geekbench AI Score
34367
Single Precision Score
49916
Half Precision Score
26314
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 08:25 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M Pro RS WiFi |
| Motherboard | ASRock B650M Pro RS WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12970
2.41 KIPS |
|
|
Image Classification (HP)
|
99% |
18196
3.39 KIPS |
|
|
Image Classification (Q)
|
100% |
11041
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22401
363.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28746
466.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21279
346.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
270153
315.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
524303
611.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
232375
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
17038
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
24264
1.92 KIPS |
|
|
Object Detection (Q)
|
89% |
14801
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
46035
547.0 IPS |
|
|
Face Detection (HP)
|
100% |
57894
687.9 IPS |
|
|
Face Detection (Q)
|
97% |
38820
462.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
80344
619.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
150679
1.16 KIPS |
|
|
Depth Estimation (Q)
|
70% |
59719
500.2 IPS |
|
|
Style Transfer (SP)
|
100% |
415052
533.6 IPS |
|
|
Style Transfer (HP)
|
100% |
927528
1.19 KIPS |
|
|
Style Transfer (Q)
|
98% |
366322
472.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55478
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73678
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42467
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3610
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
4392
5.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2298
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5591
96.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5512
94.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2377
53.0 IPS |
