ASUS System Product Name
Geekbench AI Score
2157
Single Precision Score
2247
Half Precision Score
1818
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | mxb7 |
| Upload Date | January 24 2026 04:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1573
292.5 IPS |
|
|
Image Classification (HP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (Q)
|
99% |
1252
233.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1273
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2921
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2783
3.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
4389
5.14 IPS |
|
|
Object Detection (SP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (HP)
|
100% |
1759
139.5 IPS |
|
|
Object Detection (Q)
|
85% |
1496
120.4 IPS |
|
|
Face Detection (SP)
|
100% |
2856
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
2798
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
2821
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2592
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2573
19.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2243
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3177
4.08 IPS |
|
|
Style Transfer (HP)
|
100% |
3211
4.13 IPS |
|
|
Style Transfer (Q)
|
98% |
6742
8.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1732
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1860
68.9 IPS |
|
|
Text Classification (SP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1612
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
736
988.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2813
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2950
50.8 IPS |
|
|
Machine Translation (Q)
|
58% |
647
15.2 IPS |
