ASRock B650M Pro RS
Geekbench AI Score
35072
Single Precision Score
51219
Half Precision Score
26791
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 01:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M Pro RS |
| Motherboard | ASRock B650M Pro RS |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12882
2.40 KIPS |
|
|
Image Classification (HP)
|
99% |
17929
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
11130
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25111
407.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
33732
546.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22724
369.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
263723
307.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
493167
575.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
229404
268.8 IPS |
|
|
Object Detection (SP)
|
100% |
17232
1.37 KIPS |
|
|
Object Detection (HP)
|
100% |
24322
1.93 KIPS |
|
|
Object Detection (Q)
|
85% |
14861
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
50975
605.7 IPS |
|
|
Face Detection (HP)
|
100% |
67645
803.8 IPS |
|
|
Face Detection (Q)
|
97% |
43068
513.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
82067
632.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
149424
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63207
504.8 IPS |
|
|
Style Transfer (SP)
|
100% |
390345
501.8 IPS |
|
|
Style Transfer (HP)
|
100% |
881432
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
339866
438.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54216
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72862
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40053
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
4226
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2126
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
6323
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6244
107.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2805
52.6 IPS |
