Acer Swift SF314-71
Geekbench AI Score
1412
Single Precision Score
645
Half Precision Score
2599
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | October 11 2025 10:18 AM |
| Views | 2 |
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 | Acer |
| 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% |
1329
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
24
4.54 IPS |
|
|
Image Classification (Q)
|
99% |
2709
505.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1998
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2931
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2432
2.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
11958
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1880
149.1 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.5 IPS |
|
|
Object Detection (Q)
|
86% |
3259
261.9 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
783
9.31 IPS |
|
|
Face Detection (Q)
|
97% |
140
1.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
115
0.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
868
6.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
7433
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8611
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5761
7.41 IPS |
|
|
Style Transfer (Q)
|
98% |
12864
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1197
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2310
85.5 IPS |
|
|
Text Classification (SP)
|
100% |
911
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
472
630.6 IPS |
|
|
Text Classification (Q)
|
97% |
1057
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (Q)
|
65% |
2044
41.1 IPS |
