Acer Swift SFG16-71
Geekbench AI Score
2692
Single Precision Score
2662
Half Precision Score
1588
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 07:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1036
192.7 IPS |
|
|
Image Classification (HP)
|
100% |
1092
203.1 IPS |
|
|
Image Classification (Q)
|
99% |
846
157.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1248
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11052
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11557
13.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
5649
6.62 IPS |
|
|
Object Detection (SP)
|
100% |
1212
96.1 IPS |
|
|
Object Detection (HP)
|
98% |
1133
90.2 IPS |
|
|
Object Detection (Q)
|
89% |
931
74.5 IPS |
|
|
Face Detection (SP)
|
100% |
2654
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
1735
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5471
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5898
45.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
3631
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23987
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29552
38.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14910
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3313
122.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4146
153.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1400
51.8 IPS |
|
|
Text Classification (SP)
|
100% |
741
988.4 IPS |
|
|
Text Classification (HP)
|
100% |
385
514.1 IPS |
|
|
Text Classification (Q)
|
97% |
406
544.3 IPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
60% |
346
7.71 IPS |
