Acer Aspire A515-51 (AI) Acer Aspire A515-51
Geekbench AI Score
655
Single Precision Score
657
Half Precision Score
503
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Sublime |
| Upload Date | September 25 2025 06:31 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-8550U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Acer Aspire A515-51 |
| Motherboard | KBL Charmander_KL |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8550U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 19.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
577
107.4 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.6 IPS |
|
|
Image Classification (Q)
|
99% |
357
66.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
470
7.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
545
8.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
402
6.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
697
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
700
0.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
726
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (HP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (Q)
|
85% |
276
22.2 IPS |
|
|
Face Detection (SP)
|
100% |
768
9.13 IPS |
|
|
Face Detection (HP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (Q)
|
97% |
816
9.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
679
5.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
670
5.16 IPS |
|
|
Depth Estimation (Q)
|
63% |
664
6.23 IPS |
|
|
Style Transfer (SP)
|
100% |
872
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
874
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
1737
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
419
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
438
16.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
470
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
1069
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (Q)
|
92% |
340
456.3 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (Q)
|
58% |
243
5.70 IPS |
