ASUS System Product Name
Geekbench AI Score
2562
Single Precision Score
1669
Half Precision Score
6000
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 08:20 PM |
| Views | 1 |
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. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Wysoka wydajno |
| 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% |
1702
316.5 IPS |
|
|
Image Classification (HP)
|
100% |
632
117.6 IPS |
|
|
Image Classification (Q)
|
99% |
4923
918.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3876
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4712
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4143
4.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
20751
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
766
60.8 IPS |
|
|
Object Detection (Q)
|
88% |
2434
195.1 IPS |
|
|
Face Detection (SP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
1967
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
6353
75.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5779
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2432
18.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
10374
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11076
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10360
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27721
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2500
92.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1939
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4326
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2079
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (HP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3822
85.3 IPS |
