ASUS System Product Name
Geekbench AI Score
2038
Single Precision Score
2231
Half Precision Score
1671
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rgba |
| Upload Date | September 06 2025 03:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850M-PLUS WIFI |
| 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% |
699
129.9 IPS |
|
|
Image Classification (HP)
|
100% |
700
130.2 IPS |
|
|
Image Classification (Q)
|
100% |
695
129.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1045
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6747
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
11119
13.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
6086
7.13 IPS |
|
|
Object Detection (SP)
|
100% |
751
59.5 IPS |
|
|
Object Detection (HP)
|
100% |
732
58.0 IPS |
|
|
Object Detection (Q)
|
87% |
709
57.0 IPS |
|
|
Face Detection (SP)
|
100% |
2371
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2371
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
2193
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3872
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4706
36.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3407
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11405
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16490
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10094
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2860
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3814
140.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2180
80.7 IPS |
|
|
Text Classification (SP)
|
100% |
742
990.5 IPS |
|
|
Text Classification (HP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
519
695.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
70% |
635
11.9 IPS |
