ASRock B650M PG Lightning
Geekbench AI Score
4095
Single Precision Score
1892
Half Precision Score
8416
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 09:52 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M PG Lightning |
| Motherboard | ASRock B650M PG Lightning |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3409
634.0 IPS |
|
|
Image Classification (HP)
|
100% |
729
135.5 IPS |
|
|
Image Classification (Q)
|
99% |
7586
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8368
136.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5576
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4701
5.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
20994
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
3154
250.2 IPS |
|
|
Object Detection (HP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (Q)
|
86% |
7932
637.5 IPS |
|
|
Face Detection (SP)
|
100% |
6551
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
2013
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
9654
115.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7754
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2580
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
15313
122.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14288
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11577
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22248
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2586
95.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2366
87.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5355
198.3 IPS |
|
|
Text Classification (SP)
|
100% |
2073
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1142
1.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1958
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2904
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4895
98.4 IPS |
