ASUS System Product Name
Geekbench AI Score
8255
Single Precision Score
2749
Half Precision Score
12302
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | September 01 2025 05:35 AM |
| Views | 3 |
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 | 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% |
7359
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
1001
186.2 IPS |
|
|
Image Classification (Q)
|
99% |
14053
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3365
54.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4997
81.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12309
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9434
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
48565
56.9 IPS |
|
|
Object Detection (SP)
|
100% |
7059
560.0 IPS |
|
|
Object Detection (HP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (Q)
|
86% |
14517
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
16211
192.6 IPS |
|
|
Face Detection (HP)
|
100% |
2901
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
15490
184.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16763
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3773
29.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
34826
277.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30317
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19946
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29223
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4945
182.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6734
249.3 IPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1260
1.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2371
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5193
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (Q)
|
65% |
6374
128.1 IPS |
