ASUS System Product Name
Geekbench AI Score
3931
Single Precision Score
1692
Half Precision Score
7321
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 01:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-E WIFI |
| Power Plan | QuickCpuScheme |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2972
552.6 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.4 IPS |
|
|
Image Classification (Q)
|
99% |
7921
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6130
99.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6806
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
5668
6.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
30640
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
2985
236.8 IPS |
|
|
Object Detection (HP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (Q)
|
86% |
7523
604.6 IPS |
|
|
Face Detection (SP)
|
100% |
6724
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
11253
134.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7813
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2456
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19109
152.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16239
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15027
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26505
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2171
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2047
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4702
174.1 IPS |
|
|
Text Classification (SP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
471
630.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2653
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3132
62.9 IPS |
