ASUS System Product Name
Geekbench AI Score
2706
Single Precision Score
2717
Half Precision Score
2360
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | f180n4cc1 |
| Upload Date | March 25 2025 09:09 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Workstation Edition) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1666
309.8 IPS |
|
|
Image Classification (HP)
|
100% |
1673
311.0 IPS |
|
|
Image Classification (Q)
|
99% |
1567
292.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3093
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3159
51.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1525
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4332
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4094
4.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
6020
7.05 IPS |
|
|
Object Detection (SP)
|
100% |
1914
151.8 IPS |
|
|
Object Detection (HP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (Q)
|
85% |
2000
161.0 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (Q)
|
97% |
3438
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3019
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3278
25.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2934
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4747
6.10 IPS |
|
|
Style Transfer (HP)
|
100% |
4813
6.19 IPS |
|
|
Style Transfer (Q)
|
98% |
9011
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1797
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2610
96.7 IPS |
|
|
Text Classification (SP)
|
100% |
1762
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1669
2.23 KIPS |
|
|
Text Classification (Q)
|
92% |
902
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3647
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3851
66.3 IPS |
|
|
Machine Translation (Q)
|
58% |
872
20.5 IPS |
