Acer Swift SFG14-73
Geekbench AI Score
2375
Single Precision Score
1045
Half Precision Score
1973
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 11:18 AM |
| Views | 9 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
864
160.6 IPS |
|
|
Image Classification (HP)
|
0% |
0
589.2 IPS |
|
|
Image Classification (Q)
|
100% |
824
153.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5544
89.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1140
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8205
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
15543
18.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10846
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
887
70.3 IPS |
|
|
Object Detection (HP)
|
0% |
0
271.8 IPS |
|
|
Object Detection (Q)
|
89% |
797
63.8 IPS |
|
|
Face Detection (SP)
|
100% |
1164
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
6529
77.6 IPS |
|
|
Face Detection (Q)
|
97% |
1041
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5495
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15728
121.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
4511
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32670
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
47616
61.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27133
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5033
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7842
289.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3917
145.0 IPS |
|
|
Text Classification (SP)
|
86% |
530
717.1 IPS |
|
|
Text Classification (HP)
|
99% |
394
526.5 IPS |
|
|
Text Classification (Q)
|
83% |
437
594.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1193
20.5 IPS |
|
|
Machine Translation (Q)
|
60% |
507
11.3 IPS |
