ASUS System Product Name
Geekbench AI Score
9270
Single Precision Score
3343
Half Precision Score
15196
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | April 13 2026 08:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Yksek performans |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8628
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
1177
218.9 IPS |
|
|
Image Classification (Q)
|
99% |
15066
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17834
290.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14592
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11783
13.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
55006
64.5 IPS |
|
|
Object Detection (SP)
|
100% |
8645
685.7 IPS |
|
|
Object Detection (HP)
|
100% |
1554
123.2 IPS |
|
|
Object Detection (Q)
|
86% |
15670
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
20155
239.5 IPS |
|
|
Face Detection (HP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (Q)
|
97% |
16213
193.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20763
160.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4740
36.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
37182
296.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33971
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24193
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
47614
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6026
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4887
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6761
250.4 IPS |
|
|
Text Classification (SP)
|
100% |
3614
4.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2544
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5513
95.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5743
115.4 IPS |
