ASUS System Product Name
Geekbench AI Score
6224
Single Precision Score
2506
Half Precision Score
13036
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 09 2026 07:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-E GAMING WIFI |
| Power Plan | Performances optimales |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5580
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
960
178.5 IPS |
|
|
Image Classification (Q)
|
99% |
13364
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15546
252.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9214
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7736
9.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
37615
44.1 IPS |
|
|
Object Detection (SP)
|
100% |
4666
370.1 IPS |
|
|
Object Detection (HP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (Q)
|
86% |
12322
990.3 IPS |
|
|
Face Detection (SP)
|
100% |
12649
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
13788
164.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11959
92.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3196
24.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
28856
230.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22518
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17453
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37173
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3784
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3370
124.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7631
282.6 IPS |
|
|
Text Classification (SP)
|
100% |
2780
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1356
1.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2405
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4621
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5426
109.0 IPS |
