ASUS System Product Name
Geekbench AI Score
1237
Single Precision Score
739
Half Precision Score
1480
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ixhayabusa |
| Upload Date | November 22 2024 12:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10100F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H410M-R |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
735
136.7 IPS |
|
|
Image Classification (HP)
|
100% |
290
54.0 IPS |
|
|
Image Classification (Q)
|
96% |
1106
206.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
943
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1756
2.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
1728
2.02 IPS |
|
|
Pose Estimation (Q)
|
87% |
4675
5.52 IPS |
|
|
Object Detection (SP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
86% |
869
69.8 IPS |
|
|
Face Detection (SP)
|
100% |
978
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (Q)
|
96% |
1596
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2091
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1112
8.56 IPS |
|
|
Depth Estimation (Q)
|
77% |
2133
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5361
6.89 IPS |
|
|
Style Transfer (HP)
|
100% |
4544
5.84 IPS |
|
|
Style Transfer (Q)
|
87% |
6600
8.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1255
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1617
59.9 IPS |
|
|
Text Classification (SP)
|
100% |
1129
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
484
645.8 IPS |
|
|
Text Classification (Q)
|
97% |
343
459.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
60% |
960
21.4 IPS |
