ASUS System Product Name
Geekbench AI Score
17796
Single Precision Score
28839
Half Precision Score
14264
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 02:46 PM |
| Views | 1 |
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. TUF GAMING B550M-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7224
1.34 KIPS |
|
|
Image Classification (HP)
|
99% |
12074
2.25 KIPS |
|
|
Image Classification (Q)
|
99% |
6525
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11870
192.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15412
249.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10847
176.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
93523
109.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
245159
286.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
84839
99.4 IPS |
|
|
Object Detection (SP)
|
100% |
8987
712.9 IPS |
|
|
Object Detection (HP)
|
100% |
15165
1.20 KIPS |
|
|
Object Detection (Q)
|
84% |
8024
647.2 IPS |
|
|
Face Detection (SP)
|
100% |
22078
262.3 IPS |
|
|
Face Detection (HP)
|
100% |
33290
395.6 IPS |
|
|
Face Detection (Q)
|
97% |
19819
236.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
42501
327.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
84568
651.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
35056
280.4 IPS |
|
|
Style Transfer (SP)
|
100% |
156447
201.1 IPS |
|
|
Style Transfer (HP)
|
100% |
372113
478.4 IPS |
|
|
Style Transfer (Q)
|
98% |
133662
172.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29607
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45906
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21975
813.7 IPS |
|
|
Text Classification (SP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3118
4.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1845
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3666
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1923
36.1 IPS |
