ASUS System Product Name
Geekbench AI Score
16717
Single Precision Score
27456
Half Precision Score
12993
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Xantia |
| Upload Date | August 22 2024 04:55 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-A |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6559
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
11119
2.07 KIPS |
|
|
Image Classification (Q)
|
100% |
5735
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11229
182.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14426
233.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10279
167.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
86219
100.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
234665
273.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
78439
91.9 IPS |
|
|
Object Detection (SP)
|
100% |
8234
653.1 IPS |
|
|
Object Detection (HP)
|
100% |
13441
1.07 KIPS |
|
|
Object Detection (Q)
|
89% |
7343
587.7 IPS |
|
|
Face Detection (SP)
|
100% |
18462
219.4 IPS |
|
|
Face Detection (HP)
|
100% |
27974
332.4 IPS |
|
|
Face Detection (Q)
|
97% |
15300
182.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38798
298.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
76968
593.0 IPS |
|
|
Depth Estimation (Q)
|
70% |
30687
257.4 IPS |
|
|
Style Transfer (SP)
|
100% |
145943
187.6 IPS |
|
|
Style Transfer (HP)
|
100% |
360437
463.3 IPS |
|
|
Style Transfer (Q)
|
98% |
131949
170.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28689
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45466
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21135
782.6 IPS |
|
|
Text Classification (SP)
|
100% |
3156
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
3664
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1989
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3445
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1551
34.6 IPS |
