Acer Aspire C24-963
Geekbench AI Score
721
Single Precision Score
455
Half Precision Score
1191
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 06:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1005G1 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Aspire C24-963 |
| Motherboard | Acer Aspire C24-963 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1005G1 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
369
68.7 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.3 IPS |
|
|
Image Classification (Q)
|
99% |
919
171.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
658
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1121
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
852
0.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
4013
4.70 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (Q)
|
88% |
593
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
699
8.31 IPS |
|
|
Face Detection (HP)
|
100% |
494
5.87 IPS |
|
|
Face Detection (Q)
|
97% |
1494
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1316
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
673
5.18 IPS |
|
|
Depth Estimation (Q)
|
77% |
1805
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2739
3.52 IPS |
|
|
Style Transfer (HP)
|
100% |
2115
2.72 IPS |
|
|
Style Transfer (Q)
|
98% |
5008
6.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
571
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1414
52.4 IPS |
|
|
Text Classification (SP)
|
100% |
586
781.8 IPS |
|
|
Text Classification (HP)
|
100% |
333
444.7 IPS |
|
|
Text Classification (Q)
|
97% |
286
382.4 IPS |
|
|
Machine Translation (SP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (Q)
|
60% |
736
16.4 IPS |
