Acer Swift SFG14-73
Geekbench AI Score
2822
Single Precision Score
6556
Half Precision Score
2211
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 08:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Swift SFG14-73 |
| Motherboard | MTL Goldfish_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
969
180.2 IPS |
|
|
Image Classification (HP)
|
100% |
3689
686.1 IPS |
|
|
Image Classification (Q)
|
100% |
924
171.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6436
104.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1178
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12028
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16807
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10263
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (HP)
|
99% |
4484
356.7 IPS |
|
|
Object Detection (Q)
|
86% |
949
76.3 IPS |
|
|
Face Detection (SP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
8022
95.3 IPS |
|
|
Face Detection (Q)
|
97% |
1161
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6033
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
17738
137.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
4986
40.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36480
46.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56421
72.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27340
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4597
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7996
295.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4012
148.5 IPS |
|
|
Text Classification (SP)
|
86% |
730
987.9 IPS |
|
|
Text Classification (HP)
|
99% |
665
887.1 IPS |
|
|
Text Classification (Q)
|
84% |
477
648.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (Q)
|
70% |
873
16.4 IPS |
