Acer Swift SFG14-71
Geekbench AI Score
2327
Single Precision Score
2236
Half Precision Score
4248
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | HNSDMPF |
| Upload Date | June 08 2025 01:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
1246
231.8 IPS |
|
|
Image Classification (HP)
|
100% |
1186
220.5 IPS |
|
|
Image Classification (Q)
|
100% |
2512
467.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3296
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3310
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2494
2.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
6688
7.83 IPS |
|
|
Object Detection (SP)
|
100% |
1229
97.5 IPS |
|
|
Object Detection (HP)
|
100% |
1151
91.3 IPS |
|
|
Object Detection (Q)
|
88% |
2430
194.8 IPS |
|
|
Face Detection (SP)
|
100% |
3352
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (Q)
|
100% |
6628
78.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3488
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3391
26.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
6627
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8314
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8329
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19099
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
1552
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (Q)
|
92% |
2551
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2045
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1958
33.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1904
32.8 IPS |
