ASRock B650 PG Lightning
Geekbench AI Score
3931
Single Precision Score
1847
Half Precision Score
7779
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | loader1987 |
| Upload Date | January 01 2026 02:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8400F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASRock B650 PG Lightning |
| Motherboard | ASRock B650 PG Lightning |
| Power Plan | Najwysza wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3093
575.2 IPS |
|
|
Image Classification (HP)
|
100% |
715
133.0 IPS |
|
|
Image Classification (Q)
|
99% |
7673
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1724
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
885
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8755
142.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6276
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
5213
6.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
22185
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
3067
243.3 IPS |
|
|
Object Detection (HP)
|
100% |
927
73.5 IPS |
|
|
Object Detection (Q)
|
86% |
7867
632.2 IPS |
|
|
Face Detection (SP)
|
100% |
5249
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
1779
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
9690
115.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8398
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2759
21.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7463
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14880
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13073
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23167
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2647
97.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2474
91.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5955
220.5 IPS |
|
|
Text Classification (SP)
|
100% |
2094
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1861
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2366
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3728
74.9 IPS |
