Acer Aspire A517-53
Geekbench AI Score
522
Single Precision Score
522
Half Precision Score
342
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | March 10 2025 08:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Acer Aspire A517-53 |
| Motherboard | ADL Amalthea_ADU |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (Q)
|
99% |
221
41.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
277
4.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
713
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
707
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
617
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
85% |
250
20.1 IPS |
|
|
Face Detection (SP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (HP)
|
100% |
663
7.88 IPS |
|
|
Face Detection (Q)
|
97% |
559
6.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
691
5.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
686
5.28 IPS |
|
|
Depth Estimation (Q)
|
63% |
455
4.27 IPS |
|
|
Style Transfer (SP)
|
100% |
1133
1.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1127
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
1391
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
396
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
296
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
299
399.4 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.2 IPS |
|
|
Text Classification (Q)
|
92% |
135
181.9 IPS |
|
|
Machine Translation (SP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (HP)
|
100% |
535
9.22 IPS |
|
|
Machine Translation (Q)
|
58% |
168
3.95 IPS |
