ASRock B650M Pro RS WiFi
Geekbench AI Score
21095
Single Precision Score
38025
Half Precision Score
16622
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 02:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M Pro RS WiFi |
| Motherboard | ASRock B650M Pro RS WiFi |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8728
1.62 KIPS |
|
|
Image Classification (HP)
|
100% |
14810
2.75 KIPS |
|
|
Image Classification (Q)
|
100% |
7787
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14603
236.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20989
340.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13522
219.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
119788
139.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
379317
442.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
110523
129.5 IPS |
|
|
Object Detection (SP)
|
100% |
10637
843.7 IPS |
|
|
Object Detection (HP)
|
100% |
18236
1.45 KIPS |
|
|
Object Detection (Q)
|
83% |
9400
759.5 IPS |
|
|
Face Detection (SP)
|
100% |
27884
331.3 IPS |
|
|
Face Detection (HP)
|
100% |
45246
537.6 IPS |
|
|
Face Detection (Q)
|
97% |
24880
296.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
53084
409.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
109635
844.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
43383
346.3 IPS |
|
|
Style Transfer (SP)
|
100% |
168187
216.2 IPS |
|
|
Style Transfer (HP)
|
100% |
553799
711.9 IPS |
|
|
Style Transfer (Q)
|
98% |
145875
188.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31102
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57397
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24255
898.1 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2033
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4346
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4873
83.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1896
35.6 IPS |
