ASUS System Product Name
Geekbench AI Score
2493
Single Precision Score
2527
Half Precision Score
2144
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | AbyssMoon |
| Upload Date | August 15 2025 04:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.74 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1668
310.2 IPS |
|
|
Image Classification (HP)
|
100% |
1680
312.4 IPS |
|
|
Image Classification (Q)
|
99% |
1469
274.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1422
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3592
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3647
4.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
5007
5.87 IPS |
|
|
Object Detection (SP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (HP)
|
100% |
1789
141.9 IPS |
|
|
Object Detection (Q)
|
85% |
1674
134.8 IPS |
|
|
Face Detection (SP)
|
100% |
2894
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (Q)
|
97% |
3119
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2946
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2931
22.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2648
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3879
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
3933
5.06 IPS |
|
|
Style Transfer (Q)
|
98% |
8147
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1754
64.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2304
85.4 IPS |
|
|
Text Classification (SP)
|
100% |
1583
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1692
2.26 KIPS |
|
|
Text Classification (Q)
|
92% |
882
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (Q)
|
58% |
859
20.2 IPS |
