ASUS System Product Name
Geekbench AI Score
3174
Single Precision Score
3183
Half Precision Score
1484
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | 1stn00b |
| Upload Date | August 16 2024 06:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Workstation Edition) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt B550-CREATOR |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.55 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
433.0 IPS |
|
|
Image Classification (HP)
|
100% |
2325
432.5 IPS |
|
|
Image Classification (Q)
|
99% |
1081
201.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2960
48.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
974
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3294
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3316
3.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
2774
3.25 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
2405
190.7 IPS |
|
|
Object Detection (Q)
|
86% |
936
75.3 IPS |
|
|
Face Detection (SP)
|
100% |
4800
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (Q)
|
97% |
2416
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3850
29.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
3862
29.8 IPS |
|
|
Depth Estimation (Q)
|
74% |
2140
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3286
4.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3289
4.23 IPS |
|
|
Style Transfer (Q)
|
98% |
5156
6.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2621
96.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1433
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
2581
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2584
3.45 KIPS |
|
|
Text Classification (Q)
|
92% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4711
81.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4740
81.6 IPS |
|
|
Machine Translation (Q)
|
58% |
658
15.5 IPS |
