Acer Swift SF14-51T
Geekbench AI Score
3173
Single Precision Score
1446
Half Precision Score
6561
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EddieMIT |
| Upload Date | September 18 2025 11:48 AM |
| Views | 3 |
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% |
2347
436.4 IPS |
|
|
Image Classification (HP)
|
100% |
548
101.8 IPS |
|
|
Image Classification (Q)
|
99% |
5241
977.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7530
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4827
5.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3482
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
17229
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
100% |
718
56.9 IPS |
|
|
Object Detection (Q)
|
86% |
5277
424.1 IPS |
|
|
Face Detection (SP)
|
100% |
6456
76.7 IPS |
|
|
Face Detection (HP)
|
100% |
1608
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
8555
102.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6263
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2076
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13448
107.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11965
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8877
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19450
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
680
908.0 IPS |
|
|
Text Classification (Q)
|
97% |
1320
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2798
56.2 IPS |
