ASUS System Product Name
Geekbench AI Score
7994
Single Precision Score
2840
Half Precision Score
12899
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | March 28 2025 09:21 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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% |
7524
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
984
182.9 IPS |
|
|
Image Classification (Q)
|
99% |
14262
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5064
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12498
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10191
11.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
48643
57.0 IPS |
|
|
Object Detection (SP)
|
100% |
7227
573.2 IPS |
|
|
Object Detection (HP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (Q)
|
86% |
14889
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
15968
189.7 IPS |
|
|
Face Detection (HP)
|
100% |
2952
35.1 IPS |
|
|
Face Detection (Q)
|
97% |
15376
183.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17988
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3947
30.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
34587
276.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29720
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22285
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
40614
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4638
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4074
150.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6496
240.5 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2627
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5294
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (Q)
|
65% |
6617
133.0 IPS |
