Acer Swift SFE14-51T
Geekbench AI Score
3013
Single Precision Score
2144
Half Precision Score
7852
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 11:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Swift SFE14-51T |
| Motherboard | LNL Sunfish_LNV |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
1899
353.2 IPS |
|
|
Image Classification (HP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (Q)
|
100% |
5259
978.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1120
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4982
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3288
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2197
2.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
11695
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1674
132.8 IPS |
|
|
Object Detection (HP)
|
100% |
1283
101.7 IPS |
|
|
Object Detection (Q)
|
88% |
5244
420.4 IPS |
|
|
Face Detection (SP)
|
100% |
5208
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (Q)
|
100% |
12298
146.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4365
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3195
24.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
13043
101.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9219
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6202
7.97 IPS |
|
|
Style Transfer (Q)
|
98% |
33586
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1933
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7155
265.0 IPS |
|
|
Text Classification (SP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1444
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4406
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3268
56.3 IPS |
