Desktop ASUS System Product Name
Geekbench AI Score
14642
Single Precision Score
25648
Half Precision Score
9768
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TommyRay106 |
| Upload Date | October 21 2025 07:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z790-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6209
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
10480
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
4588
855.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
10438
169.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16843
273.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8157
132.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
67188
78.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
190679
222.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
56550
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
7379
585.3 IPS |
|
|
Object Detection (HP)
|
100% |
13759
1.09 KIPS |
|
|
Object Detection (Q)
|
84% |
5597
451.4 IPS |
|
|
Face Detection (SP)
|
100% |
17867
212.3 IPS |
|
|
Face Detection (HP)
|
100% |
29454
350.0 IPS |
|
|
Face Detection (Q)
|
97% |
13715
163.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
34146
263.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
64988
502.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
23247
186.1 IPS |
|
|
Style Transfer (SP)
|
100% |
114724
147.5 IPS |
|
|
Style Transfer (HP)
|
100% |
294951
379.2 IPS |
|
|
Style Transfer (Q)
|
98% |
92214
118.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21040
776.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35960
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13208
489.1 IPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
3235
4.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1227
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4051
69.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1402
26.3 IPS |
