Acer Aspire A517-53
Geekbench AI Score
776
Single Precision Score
773
Half Precision Score
1412
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | March 10 2025 08:53 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
440
81.8 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (Q)
|
100% |
864
160.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (Q)
|
99% |
981
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1044
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1038
1.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
2492
2.92 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
447
35.5 IPS |
|
|
Object Detection (Q)
|
88% |
863
69.2 IPS |
|
|
Face Detection (SP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1199
14.2 IPS |
|
|
Face Detection (Q)
|
100% |
2238
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1278
9.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
1272
9.80 IPS |
|
|
Depth Estimation (Q)
|
89% |
2451
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3064
3.94 IPS |
|
|
Style Transfer (HP)
|
100% |
3053
3.92 IPS |
|
|
Style Transfer (Q)
|
98% |
7039
9.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
587
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
583
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1250
46.3 IPS |
|
|
Text Classification (SP)
|
100% |
391
522.1 IPS |
|
|
Text Classification (HP)
|
100% |
377
503.5 IPS |
|
|
Text Classification (Q)
|
92% |
574
770.6 IPS |
|
|
Machine Translation (SP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
100% |
627
10.8 IPS |
