ASUS System Product Name
Geekbench AI Score
3433
Single Precision Score
3437
Half Precision Score
2560
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 01:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B560M-PLUS |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
737
137.0 IPS |
|
|
Image Classification (HP)
|
100% |
1323
246.1 IPS |
|
|
Image Classification (Q)
|
99% |
686
128.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1884
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19478
22.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10619
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16219
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
1067
84.6 IPS |
|
|
Object Detection (HP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (Q)
|
83% |
973
78.6 IPS |
|
|
Face Detection (SP)
|
100% |
2151
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (Q)
|
97% |
1911
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7029
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6564
50.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
5765
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32449
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19589
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26286
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6314
233.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4284
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (Q)
|
97% |
539
721.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1895
32.8 IPS |
|
|
Machine Translation (Q)
|
70% |
888
16.7 IPS |
