Acer Swift SFG14-71
Geekbench AI Score
2414
Single Precision Score
2394
Half Precision Score
1509
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | HNSDMPF |
| Upload Date | June 08 2025 01:05 AM |
| Views | 4 |
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 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% |
979
182.1 IPS |
|
|
Image Classification (HP)
|
100% |
1018
189.4 IPS |
|
|
Image Classification (Q)
|
100% |
850
158.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1114
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8683
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9574
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
4713
5.52 IPS |
|
|
Object Detection (SP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (HP)
|
98% |
1043
83.0 IPS |
|
|
Object Detection (Q)
|
86% |
959
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
2317
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2686
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
1682
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4618
35.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5073
39.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3243
26.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19099
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24155
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
12330
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2683
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3470
128.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1188
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
346
462.2 IPS |
|
|
Text Classification (Q)
|
97% |
420
562.3 IPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
70% |
427
8.00 IPS |
