Acer Swift SFG14-74
Geekbench AI Score
7174
Single Precision Score
8379
Half Precision Score
4991
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cfy0713 |
| Upload Date | April 22 2025 01:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Swift SFG14-74 |
| Motherboard | ARL Crayfish_ARH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4125
767.2 IPS |
|
|
Image Classification (HP)
|
100% |
4668
868.2 IPS |
|
|
Image Classification (Q)
|
99% |
3262
608.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3870
62.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9732
157.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2958
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
25770
30.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
25979
30.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21131
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
5090
403.7 IPS |
|
|
Object Detection (HP)
|
99% |
5347
425.4 IPS |
|
|
Object Detection (Q)
|
85% |
3747
301.5 IPS |
|
|
Face Detection (SP)
|
100% |
7965
94.6 IPS |
|
|
Face Detection (HP)
|
100% |
9555
113.5 IPS |
|
|
Face Detection (Q)
|
97% |
5539
66.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16979
130.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
20003
154.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12314
98.6 IPS |
|
|
Style Transfer (SP)
|
100% |
61044
78.5 IPS |
|
|
Style Transfer (HP)
|
100% |
62725
80.6 IPS |
|
|
Style Transfer (Q)
|
98% |
42574
54.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9608
354.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13487
498.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6091
225.5 IPS |
|
|
Text Classification (SP)
|
86% |
872
1.18 KIPS |
|
|
Text Classification (HP)
|
99% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
84% |
638
865.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2205
38.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1114
20.9 IPS |
