Acer Swift SF314-71
Geekbench AI Score
2682
Single Precision Score
1212
Half Precision Score
5131
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | April 01 2026 05:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF314-71 |
| Motherboard | ADL Starfish_ADH |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (Q)
|
99% |
3844
717.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5405
87.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4177
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3041
3.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
13218
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1911
151.6 IPS |
|
|
Object Detection (HP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (Q)
|
86% |
4019
323.0 IPS |
|
|
Face Detection (SP)
|
100% |
5047
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
6710
80.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5234
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1748
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10062
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9879
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7122
9.16 IPS |
|
|
Style Transfer (Q)
|
98% |
15698
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1841
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1397
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3841
142.2 IPS |
|
|
Text Classification (SP)
|
100% |
1220
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
628
837.6 IPS |
|
|
Text Classification (Q)
|
97% |
1264
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2227
44.7 IPS |
