Acer Swift SFG14-71
Geekbench AI Score
2278
Single Precision Score
887
Half Precision Score
4209
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | HNSDMPF |
| Upload Date | June 08 2025 12:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1335U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG14-71 |
| Motherboard | RPL Coral_RTH |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1650
306.9 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.1 IPS |
|
|
Image Classification (Q)
|
99% |
3647
680.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1063
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
2300
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3557
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1979
2.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
10508
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1757
139.4 IPS |
|
|
Object Detection (HP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (Q)
|
86% |
3465
278.5 IPS |
|
|
Face Detection (SP)
|
100% |
4086
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
6393
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4801
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1223
9.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
9042
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8658
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
4876
6.27 IPS |
|
|
Style Transfer (Q)
|
98% |
12326
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1098
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2425
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
1107
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
532
709.9 IPS |
|
|
Text Classification (Q)
|
97% |
1540
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
65% |
2149
43.2 IPS |
