ASUS System Product Name
Geekbench AI Score
2037
Single Precision Score
2078
Half Precision Score
1768
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | Lorne_Dmitruk |
| Upload Date | February 25 2026 07:16 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS X570-ACE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1440
267.8 IPS |
|
|
Image Classification (HP)
|
100% |
1452
269.9 IPS |
|
|
Image Classification (Q)
|
99% |
1173
218.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1238
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2741
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2726
3.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
4263
5.00 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
100% |
1598
126.7 IPS |
|
|
Object Detection (Q)
|
85% |
1379
111.0 IPS |
|
|
Face Detection (SP)
|
100% |
2563
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
2554
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
2639
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2264
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2238
17.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2191
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3090
3.97 IPS |
|
|
Style Transfer (HP)
|
100% |
3105
3.99 IPS |
|
|
Style Transfer (Q)
|
98% |
6500
8.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1814
67.2 IPS |
|
|
Text Classification (SP)
|
100% |
1497
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1472
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
743
998.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2597
44.7 IPS |
|
|
Machine Translation (Q)
|
58% |
691
16.2 IPS |
