Acer Aspire AV15-53P
Geekbench AI Score
962
Single Precision Score
459
Half Precision Score
1116
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 13 2024 10:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire AV15-53P |
| Motherboard | RPL Amber_RTU |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
306
56.9 IPS |
|
|
Image Classification (Q)
|
99% |
1394
260.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
1334
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3101
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1913
2.23 IPS |
|
|
Pose Estimation (Q)
|
95% |
8206
9.62 IPS |
|
|
Object Detection (SP)
|
100% |
1055
83.7 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (Q)
|
88% |
368
29.5 IPS |
|
|
Face Detection (SP)
|
100% |
813
9.66 IPS |
|
|
Face Detection (HP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (Q)
|
97% |
874
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1320
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
448
3.46 IPS |
|
|
Depth Estimation (Q)
|
77% |
1484
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3392
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
2386
3.07 IPS |
|
|
Style Transfer (Q)
|
98% |
4946
6.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
636
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
976
36.2 IPS |
|
|
Text Classification (SP)
|
100% |
327
436.5 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.4 IPS |
|
|
Text Classification (Q)
|
97% |
192
257.8 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (HP)
|
100% |
152
2.62 IPS |
|
|
Machine Translation (Q)
|
60% |
447
9.97 IPS |
