ASUS System Product Name
Geekbench AI Score
6140
Single Precision Score
2450
Half Precision Score
11731
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | August 14 2025 08:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4704
874.8 IPS |
|
|
Image Classification (HP)
|
100% |
876
162.8 IPS |
|
|
Image Classification (Q)
|
99% |
11384
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2452
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12623
205.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9962
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8215
9.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
37697
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
4469
354.5 IPS |
|
|
Object Detection (HP)
|
100% |
1099
87.1 IPS |
|
|
Object Detection (Q)
|
86% |
11229
902.5 IPS |
|
|
Face Detection (SP)
|
100% |
12181
144.7 IPS |
|
|
Face Detection (HP)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (Q)
|
97% |
13312
158.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11498
88.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3240
25.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
27804
221.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23599
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17787
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31157
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3743
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3251
120.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6954
257.5 IPS |
|
|
Text Classification (SP)
|
100% |
2636
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1246
1.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1998
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5065
101.8 IPS |
