Acer Swift SF314-59
Geekbench AI Score
1308
Single Precision Score
636
Half Precision Score
2584
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rsMirdhah |
| Upload Date | October 02 2025 04:56 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF314-59 |
| Motherboard | TGL Kona_TL |
| Power Plan | Acer |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1090
202.7 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.2 IPS |
|
|
Image Classification (Q)
|
99% |
2702
503.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
498
8.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
1490
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1749
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1233
1.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
5781
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
809
64.1 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
86% |
2344
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
2520
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (Q)
|
97% |
4131
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2182
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
848
6.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
5960
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3909
5.03 IPS |
|
|
Style Transfer (HP)
|
100% |
3082
3.96 IPS |
|
|
Style Transfer (Q)
|
98% |
9127
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1006
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
620
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2756
102.1 IPS |
|
|
Text Classification (SP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
494
658.8 IPS |
|
|
Text Classification (Q)
|
97% |
305
409.1 IPS |
|
|
Machine Translation (SP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (Q)
|
65% |
1288
25.9 IPS |
