Ryzen 9 7900x AVX2 GB6.4 Arch2025.3 ASUS System Product Name
Geekbench AI Score
2459
Single Precision Score
2489
Half Precision Score
2126
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | tebruno99 |
| Upload Date | March 14 2025 10:01 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.73 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1605
298.5 IPS |
|
|
Image Classification (HP)
|
100% |
1642
305.3 IPS |
|
|
Image Classification (Q)
|
99% |
1467
273.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2801
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1400
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3626
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3651
4.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
4982
5.84 IPS |
|
|
Object Detection (SP)
|
100% |
1741
138.1 IPS |
|
|
Object Detection (HP)
|
100% |
1768
140.3 IPS |
|
|
Object Detection (Q)
|
85% |
1678
135.0 IPS |
|
|
Face Detection (SP)
|
100% |
2899
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
2894
34.4 IPS |
|
|
Face Detection (Q)
|
97% |
3101
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2890
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2843
21.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2641
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3962
5.09 IPS |
|
|
Style Transfer (HP)
|
100% |
3942
5.07 IPS |
|
|
Style Transfer (Q)
|
98% |
7929
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1686
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2286
84.7 IPS |
|
|
Text Classification (SP)
|
100% |
1559
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1632
2.18 KIPS |
|
|
Text Classification (Q)
|
92% |
889
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3269
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (Q)
|
58% |
833
19.6 IPS |
