ASRock B650 PG Lightning WiFi
Geekbench AI Score
9677
Single Precision Score
14201
Half Precision Score
7327
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 08:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B650 PG Lightning WiFi |
| Motherboard | ASRock B650 PG Lightning WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8500G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 120 Stepping 0 |
| Base Frequency | 3.55 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4134
768.9 IPS |
|
|
Image Classification (HP)
|
99% |
5687
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
3409
635.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4375
70.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5109
82.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3935
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
63708
74.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
155000
180.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
54257
63.6 IPS |
|
|
Object Detection (SP)
|
100% |
4615
366.1 IPS |
|
|
Object Detection (HP)
|
100% |
6398
507.5 IPS |
|
|
Object Detection (Q)
|
84% |
3900
314.6 IPS |
|
|
Face Detection (SP)
|
100% |
9964
118.4 IPS |
|
|
Face Detection (HP)
|
100% |
12931
153.6 IPS |
|
|
Face Detection (Q)
|
97% |
8617
102.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
30088
231.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51424
397.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
21222
169.9 IPS |
|
|
Style Transfer (SP)
|
100% |
101363
130.3 IPS |
|
|
Style Transfer (HP)
|
100% |
221863
285.2 IPS |
|
|
Style Transfer (Q)
|
98% |
83241
107.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17046
629.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25186
930.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11842
438.5 IPS |
|
|
Text Classification (SP)
|
100% |
1970
2.63 KIPS |
|
|
Text Classification (HP)
|
99% |
2289
3.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1084
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (Q)
|
70% |
804
15.1 IPS |
