Acer Swift SFG16-71
Geekbench AI Score
1917
Single Precision Score
873
Half Precision Score
2624
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 04:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG16-71 |
| Motherboard | RPL Lionfish_RTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.4 IPS |
|
|
Image Classification (Q)
|
99% |
2115
394.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1022
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1905
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3273
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
9844
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (Q)
|
88% |
1224
98.1 IPS |
|
|
Face Detection (SP)
|
100% |
2005
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
2668
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3857
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1216
9.37 IPS |
|
|
Depth Estimation (Q)
|
77% |
4755
38.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7609
9.78 IPS |
|
|
Style Transfer (HP)
|
100% |
5096
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
12513
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
949
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2671
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
1173
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
484
645.5 IPS |
|
|
Text Classification (Q)
|
97% |
527
706.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
450
7.74 IPS |
|
|
Machine Translation (Q)
|
60% |
1428
31.9 IPS |
