Acer Aspire E5-575G
Geekbench AI Score
551
Single Precision Score
497
Half Precision Score
919
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 11:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7200U CPU @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | Acer Aspire E5-575G |
| Motherboard | Acer Ironman_SK |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
317
59.0 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.2 IPS |
|
|
Image Classification (Q)
|
100% |
429
79.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
264
4.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
559
9.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
437
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
330
0.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
1206
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (HP)
|
100% |
277
21.9 IPS |
|
|
Object Detection (Q)
|
87% |
559
44.9 IPS |
|
|
Face Detection (SP)
|
100% |
778
9.25 IPS |
|
|
Face Detection (HP)
|
100% |
754
8.96 IPS |
|
|
Face Detection (Q)
|
97% |
1691
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
810
6.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
975
7.51 IPS |
|
|
Depth Estimation (Q)
|
81% |
1362
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1821
2.34 IPS |
|
|
Style Transfer (HP)
|
100% |
1643
2.11 IPS |
|
|
Style Transfer (Q)
|
98% |
3794
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
834
30.9 IPS |
|
|
Text Classification (SP)
|
100% |
573
764.6 IPS |
|
|
Text Classification (HP)
|
100% |
515
687.3 IPS |
|
|
Text Classification (Q)
|
91% |
435
584.4 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
100% |
840
14.5 IPS |
