ASUS System Product Name
Geekbench AI Score
7479
Single Precision Score
2552
Half Precision Score
11736
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | August 31 2025 06:52 AM |
| Views | 5 |
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% |
7195
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
999
185.9 IPS |
|
|
Image Classification (Q)
|
99% |
14085
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3597
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4829
78.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10792
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9090
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
47413
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
6981
553.7 IPS |
|
|
Object Detection (HP)
|
100% |
1279
101.5 IPS |
|
|
Object Detection (Q)
|
86% |
14307
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
16659
197.9 IPS |
|
|
Face Detection (HP)
|
100% |
2848
33.8 IPS |
|
|
Face Detection (Q)
|
97% |
15056
179.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15072
116.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3841
29.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
31141
248.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21800
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16503
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30316
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3631
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3127
115.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6545
242.4 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1118
1.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2086
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4383
75.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5539
111.3 IPS |
