Florida-PC ASUS PRIME B650M-A AX ASUS System Product Name
Geekbench AI Score
3599
Single Precision Score
1694
Half Precision Score
7685
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | thermalwone |
| Upload Date | April 18 2025 10:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3414
635.0 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.7 IPS |
|
|
Image Classification (Q)
|
99% |
7655
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3756
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5071
5.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
4031
4.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
20188
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.6 IPS |
|
|
Object Detection (HP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (Q)
|
86% |
6952
558.7 IPS |
|
|
Face Detection (SP)
|
100% |
5521
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
1905
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
11196
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6441
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2417
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
15114
120.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11664
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10682
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23126
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2359
87.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4390
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
1820
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
933
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2080
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2808
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4989
100.3 IPS |
