ASUS System Product Name
Geekbench AI Score
15929
Single Precision Score
25056
Half Precision Score
12978
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | F0xMaster |
| Upload Date | December 11 2025 10:09 PM |
| Views | 15 |
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 B550-PLUS |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6314
1.17 KIPS |
|
|
Image Classification (HP)
|
99% |
10003
1.87 KIPS |
|
|
Image Classification (Q)
|
99% |
5808
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9976
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12639
204.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9186
149.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
88181
102.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
234688
273.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
76647
89.8 IPS |
|
|
Object Detection (SP)
|
100% |
7955
631.0 IPS |
|
|
Object Detection (HP)
|
100% |
12307
976.2 IPS |
|
|
Object Detection (Q)
|
84% |
7150
576.7 IPS |
|
|
Face Detection (SP)
|
100% |
18361
218.2 IPS |
|
|
Face Detection (HP)
|
100% |
27637
328.4 IPS |
|
|
Face Detection (Q)
|
97% |
16775
200.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
42201
325.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75441
581.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
35009
280.1 IPS |
|
|
Style Transfer (SP)
|
100% |
140044
180.0 IPS |
|
|
Style Transfer (HP)
|
100% |
327502
421.0 IPS |
|
|
Style Transfer (Q)
|
98% |
126450
163.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27016
997.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41228
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20961
776.1 IPS |
|
|
Text Classification (SP)
|
100% |
2644
3.53 KIPS |
|
|
Text Classification (HP)
|
99% |
3007
4.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1776
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3072
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3155
54.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1678
31.5 IPS |
