Acer Aspire A514-54
Geekbench AI Score
2562
Single Precision Score
3503
Half Precision Score
5545
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 11:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Acer Aspire A514-54 |
| Motherboard | TGL Lily_TL |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1830
340.3 IPS |
|
|
Image Classification (HP)
|
100% |
2638
490.5 IPS |
|
|
Image Classification (Q)
|
99% |
3205
597.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3828
62.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4501
73.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6142
7.17 IPS |
|
|
Pose Estimation (HP)
|
99% |
5148
6.01 IPS |
|
|
Pose Estimation (Q)
|
97% |
21804
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1752
138.9 IPS |
|
|
Object Detection (HP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (Q)
|
90% |
3390
271.1 IPS |
|
|
Face Detection (SP)
|
100% |
3614
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6880
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
11470
136.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6372
49.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10515
81.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
13718
106.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15515
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18887
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35625
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4850
179.6 IPS |
|
|
Text Classification (SP)
|
71% |
827
1.20 KIPS |
|
|
Text Classification (HP)
|
71% |
921
1.33 KIPS |
|
|
Text Classification (Q)
|
92% |
909
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1041
18.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1043
18.0 IPS |
