ASUS System Product Name
Geekbench AI Score
1965
Single Precision Score
2154
Half Precision Score
1616
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Alan156 |
| Upload Date | May 02 2025 05:52 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
692
128.7 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (Q)
|
100% |
686
127.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
996
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6479
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
10961
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
5840
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (HP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (Q)
|
87% |
700
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
2101
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2201
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
1942
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3835
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4566
35.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3348
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11432
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16516
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10063
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2848
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3785
139.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2154
79.7 IPS |
|
|
Text Classification (SP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
523
700.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (Q)
|
70% |
593
11.1 IPS |
