250612 MBG-C6 ASRock B650M PG Lightning WiFi
Geekbench AI Score
6688
Single Precision Score
2591
Half Precision Score
11824
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | June 12 2025 03:35 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B650M PG Lightning WiFi |
| Motherboard | ASRock B650M PG Lightning WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6559
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
946
175.9 IPS |
|
|
Image Classification (Q)
|
99% |
13098
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5008
81.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9723
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7855
9.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
39156
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
5260
417.2 IPS |
|
|
Object Detection (HP)
|
100% |
1308
103.7 IPS |
|
|
Object Detection (Q)
|
86% |
13279
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
9789
116.3 IPS |
|
|
Face Detection (HP)
|
100% |
2527
30.0 IPS |
|
|
Face Detection (Q)
|
97% |
13766
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12549
96.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3712
28.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
26733
213.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24198
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18033
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35284
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4093
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3549
131.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6348
235.1 IPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2688
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4570
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (Q)
|
65% |
7069
142.0 IPS |
