ASUS System Product Name
Geekbench AI Score
4282
Single Precision Score
1912
Half Precision Score
8140
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 01:58 PM |
| Views | 2 |
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. B650M-AYW WIFI |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3580
665.8 IPS |
|
|
Image Classification (HP)
|
100% |
749
139.3 IPS |
|
|
Image Classification (Q)
|
99% |
8067
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3883
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6067
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4969
5.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
23031
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
3331
264.2 IPS |
|
|
Object Detection (HP)
|
100% |
916
72.7 IPS |
|
|
Object Detection (Q)
|
86% |
8489
682.3 IPS |
|
|
Face Detection (SP)
|
100% |
6979
82.9 IPS |
|
|
Face Detection (HP)
|
100% |
2067
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
10102
120.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8097
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2729
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16523
131.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15560
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12947
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26453
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2861
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2629
97.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4350
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
1999
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2244
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2764
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4842
97.3 IPS |
