Acer TravelMate P214-53
Geekbench AI Score
1531
Single Precision Score
1598
Half Precision Score
1054
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | timpaniUSER |
| Upload Date | January 18 2025 09:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Acer TravelMate P214-53 |
| Motherboard | TGL Timpani_TL |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1115G4 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
685
127.4 IPS |
|
|
Image Classification (HP)
|
100% |
691
128.4 IPS |
|
|
Image Classification (Q)
|
100% |
565
105.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1063
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
765
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5356
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6524
7.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
3484
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
807
64.0 IPS |
|
|
Object Detection (HP)
|
98% |
705
56.1 IPS |
|
|
Object Detection (Q)
|
86% |
639
51.4 IPS |
|
|
Face Detection (SP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1821
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
1198
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3360
25.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3583
27.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2417
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11717
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15787
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8103
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1708
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2503
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
876
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.2 IPS |
|
|
Text Classification (HP)
|
100% |
307
410.3 IPS |
|
|
Text Classification (Q)
|
97% |
297
398.1 IPS |
|
|
Machine Translation (SP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.02 IPS |
|
|
Machine Translation (Q)
|
70% |
289
5.43 IPS |
