Acer Swift SF14-51T
Geekbench AI Score
3088
Single Precision Score
1338
Half Precision Score
6249
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EddieMIT |
| Upload Date | September 19 2025 01:08 AM |
| Views | 4 |
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% |
2284
424.8 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.7 IPS |
|
|
Image Classification (Q)
|
99% |
4952
923.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
893
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7267
118.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4665
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3149
3.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
16934
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2131
169.0 IPS |
|
|
Object Detection (HP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (Q)
|
86% |
4912
394.8 IPS |
|
|
Face Detection (SP)
|
100% |
6290
74.7 IPS |
|
|
Face Detection (HP)
|
100% |
1426
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
8100
96.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6059
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1898
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12703
101.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11528
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8500
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19447
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4727
175.0 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
629
839.4 IPS |
|
|
Text Classification (Q)
|
97% |
1320
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2432
48.9 IPS |
