Acer Swift SF14-51T
Geekbench AI Score
3105
Single Precision Score
1374
Half Precision Score
6202
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EddieMIT |
| Upload Date | September 19 2025 01:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Swift SF14-51T |
| Motherboard | LNL Icefish_LNV |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2231
414.8 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (Q)
|
99% |
5045
941.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7085
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4623
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3325
3.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
16762
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.1 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
86% |
4959
398.6 IPS |
|
|
Face Detection (SP)
|
100% |
6304
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
1497
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
8013
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6012
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1982
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12772
101.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11606
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8593
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20057
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2150
79.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4427
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
667
890.9 IPS |
|
|
Text Classification (Q)
|
97% |
1326
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2353
47.3 IPS |
