Asus based home build PC ASUS System Product Name
Geekbench AI Score
5138
Single Precision Score
1810
Half Precision Score
9144
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | GrumpyJim |
| Upload Date | May 26 2025 10:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3958
736.1 IPS |
|
|
Image Classification (HP)
|
100% |
587
109.2 IPS |
|
|
Image Classification (Q)
|
99% |
9173
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4087
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11590
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8614
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
37452
43.9 IPS |
|
|
Object Detection (SP)
|
100% |
4220
334.7 IPS |
|
|
Object Detection (HP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (Q)
|
86% |
9883
794.3 IPS |
|
|
Face Detection (SP)
|
100% |
8080
96.0 IPS |
|
|
Face Detection (HP)
|
100% |
1496
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
12728
151.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11472
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2755
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20742
165.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23564
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21138
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40118
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2685
99.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2384
88.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3997
148.0 IPS |
|
|
Text Classification (SP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1478
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4710
94.6 IPS |
