ASUS System Product Name
Geekbench AI Score
17320
Single Precision Score
28436
Half Precision Score
13876
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 26 2025 10:32 AM |
| Views | 2 |
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 WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6640
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
11895
2.22 KIPS |
|
|
Image Classification (Q)
|
99% |
6336
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12134
196.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16512
267.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11036
179.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
89316
104.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
233062
271.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
76527
89.7 IPS |
|
|
Object Detection (SP)
|
100% |
8655
686.5 IPS |
|
|
Object Detection (HP)
|
100% |
14533
1.15 KIPS |
|
|
Object Detection (Q)
|
84% |
7687
620.0 IPS |
|
|
Face Detection (SP)
|
100% |
20894
248.3 IPS |
|
|
Face Detection (HP)
|
100% |
32675
388.2 IPS |
|
|
Face Detection (Q)
|
97% |
18670
222.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
42504
327.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78779
606.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
34981
279.8 IPS |
|
|
Style Transfer (SP)
|
100% |
140442
180.5 IPS |
|
|
Style Transfer (HP)
|
100% |
341591
439.1 IPS |
|
|
Style Transfer (Q)
|
98% |
128578
165.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28065
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44628
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21463
794.8 IPS |
|
|
Text Classification (SP)
|
100% |
2871
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
3266
4.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1862
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3883
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4055
69.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1918
36.0 IPS |
