ASUS System Product Name
Geekbench AI Score
1558
Single Precision Score
554
Half Precision Score
3462
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | luemonkey123 |
| Upload Date | August 28 2025 12:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (KDE Plasma Desktop Edition) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A AX II |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.49 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1173
218.0 IPS |
|
|
Image Classification (HP)
|
100% |
100
18.5 IPS |
|
|
Image Classification (Q)
|
97% |
3231
602.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
231
3.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
2313
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3961
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2522
2.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
8891
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
830
65.9 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (Q)
|
86% |
2024
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
826
9.81 IPS |
|
|
Face Detection (HP)
|
100% |
180
2.13 IPS |
|
|
Face Detection (Q)
|
97% |
7469
89.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1797
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
738
5.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
5288
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7578
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
6429
8.26 IPS |
|
|
Style Transfer (Q)
|
98% |
7771
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1681
62.3 IPS |
|
|
Text Classification (SP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
572
763.5 IPS |
|
|
Text Classification (Q)
|
97% |
1951
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (Q)
|
65% |
1831
36.8 IPS |
