Acer Swift SFG16-71
Geekbench AI Score
1730
Single Precision Score
799
Half Precision Score
2246
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | BadHabitMarco |
| Upload Date | November 04 2024 11:22 AM |
| Views | 5 |
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% |
1098
204.2 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
99% |
1730
322.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
906
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1762
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3295
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1846
2.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
10120
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.0 IPS |
|
|
Object Detection (Q)
|
88% |
1084
86.9 IPS |
|
|
Face Detection (SP)
|
100% |
1723
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
2188
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3854
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1116
8.60 IPS |
|
|
Depth Estimation (Q)
|
77% |
3947
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6651
8.55 IPS |
|
|
Style Transfer (HP)
|
100% |
4627
5.95 IPS |
|
|
Style Transfer (Q)
|
98% |
10977
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2147
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
464
619.8 IPS |
|
|
Text Classification (Q)
|
97% |
459
614.4 IPS |
|
|
Machine Translation (SP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
60% |
1048
23.4 IPS |
