ASUS System Product Name
Geekbench AI Score
6031
Single Precision Score
2342
Half Precision Score
11667
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 04 2025 01:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850M-PLUS WIFI7 |
| 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% |
4572
850.2 IPS |
|
|
Image Classification (HP)
|
100% |
811
150.9 IPS |
|
|
Image Classification (Q)
|
99% |
11059
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11657
189.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9134
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7627
8.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
33648
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
4497
356.7 IPS |
|
|
Object Detection (HP)
|
100% |
1047
83.0 IPS |
|
|
Object Detection (Q)
|
86% |
11290
907.3 IPS |
|
|
Face Detection (SP)
|
100% |
12118
144.0 IPS |
|
|
Face Detection (HP)
|
100% |
2343
27.8 IPS |
|
|
Face Detection (Q)
|
97% |
13427
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11715
90.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3233
24.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
26119
208.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23676
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17050
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37127
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3237
119.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6851
253.7 IPS |
|
|
Text Classification (SP)
|
100% |
2596
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2110
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4504
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5071
101.9 IPS |
