Acer Swift SF314-71
Geekbench AI Score
2607
Single Precision Score
2582
Half Precision Score
6527
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | April 01 2026 05:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
1314
244.4 IPS |
|
|
Image Classification (Q)
|
100% |
4434
824.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4241
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3904
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3850
4.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
11628
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (Q)
|
88% |
4402
352.8 IPS |
|
|
Face Detection (SP)
|
100% |
4147
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
4210
50.0 IPS |
|
|
Face Detection (Q)
|
100% |
9784
116.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4122
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3985
30.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10810
84.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10576
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10470
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31517
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1843
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1843
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6485
240.1 IPS |
|
|
Text Classification (SP)
|
100% |
1513
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1524
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
3534
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1843
31.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1909
32.9 IPS |
