ASUS System Product Name
Geekbench AI Score
2357
Single Precision Score
2356
Half Precision Score
1837
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | SyderAkaris |
| Upload Date | August 18 2024 08:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Manjaro 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 | 5.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1673
311.1 IPS |
|
|
Image Classification (HP)
|
100% |
1665
309.6 IPS |
|
|
Image Classification (Q)
|
99% |
1296
241.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1258
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3175
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3166
3.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
4681
5.49 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.6 IPS |
|
|
Object Detection (HP)
|
100% |
1783
141.4 IPS |
|
|
Object Detection (Q)
|
86% |
1635
131.5 IPS |
|
|
Face Detection (SP)
|
100% |
2981
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2932
34.8 IPS |
|
|
Face Detection (Q)
|
97% |
2888
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2746
21.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
2796
21.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
2659
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3659
4.70 IPS |
|
|
Style Transfer (HP)
|
100% |
3619
4.65 IPS |
|
|
Style Transfer (Q)
|
98% |
6930
8.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1821
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1945
72.1 IPS |
|
|
Text Classification (SP)
|
100% |
1541
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1622
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
495
664.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3172
54.6 IPS |
|
|
Machine Translation (Q)
|
58% |
688
16.2 IPS |
