Acer Aspire A514-52
Geekbench AI Score
1309
Single Precision Score
610
Half Precision Score
1633
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kot-ubitsa |
| Upload Date | February 10 2025 08:47 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Acer Aspire A514-52 |
| Motherboard | CML Sneezy_WC |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1169
217.4 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.7 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
907
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1524
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1181
1.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
2890
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
991
78.6 IPS |
|
|
Object Detection (HP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (Q)
|
58% |
1114
121.7 IPS |
|
|
Face Detection (SP)
|
100% |
1752
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (Q)
|
96% |
2805
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2136
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
763
5.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
3620
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4311
5.54 IPS |
|
|
Style Transfer (HP)
|
100% |
3100
3.99 IPS |
|
|
Style Transfer (Q)
|
87% |
5566
7.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
667
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1354
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
479
639.0 IPS |
|
|
Text Classification (Q)
|
97% |
354
474.2 IPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
347
5.98 IPS |
|
|
Machine Translation (Q)
|
68% |
1049
20.3 IPS |
