Ryzen 9 7900x AVX2 ASUS System Product Name
Geekbench AI Score
4037
Single Precision Score
1553
Half Precision Score
6559
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tebruno99 |
| Upload Date | March 27 2025 11:31 PM |
| Views | 10 |
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 | Balanced |
| 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% |
3025
562.5 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (Q)
|
99% |
7669
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2741
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6872
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
5767
6.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
28819
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
2960
234.8 IPS |
|
|
Object Detection (HP)
|
100% |
655
52.0 IPS |
|
|
Object Detection (Q)
|
86% |
6931
557.0 IPS |
|
|
Face Detection (SP)
|
100% |
6627
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
10226
121.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8422
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2404
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17298
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16291
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15363
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32264
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2591
95.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2147
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3889
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
1505
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
650
867.6 IPS |
|
|
Text Classification (Q)
|
97% |
438
586.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2655
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3615
72.6 IPS |
