ASRock B650 PG Lightning
Geekbench AI Score
5779
Single Precision Score
2541
Half Precision Score
11635
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 08 2026 09:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650 PG Lightning |
| Motherboard | ASRock B650 PG Lightning |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4205
782.1 IPS |
|
|
Image Classification (HP)
|
100% |
844
157.0 IPS |
|
|
Image Classification (Q)
|
99% |
11317
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1687
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15676
254.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14773
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11059
12.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
56603
66.4 IPS |
|
|
Object Detection (SP)
|
100% |
4657
369.4 IPS |
|
|
Object Detection (HP)
|
100% |
1058
83.9 IPS |
|
|
Object Detection (Q)
|
86% |
13003
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
7720
91.7 IPS |
|
|
Face Detection (HP)
|
100% |
2326
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
13848
165.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13706
105.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3570
27.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
26240
209.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28585
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24837
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37616
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3772
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3198
118.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3605
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1023
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1760
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4017
80.7 IPS |
