Acer Swift SFE14-51T
Geekbench AI Score
3170
Single Precision Score
28450
Half Precision Score
46092
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | March 18 2026 05:05 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
1934
359.7 IPS |
|
|
Image Classification (HP)
|
100% |
15231
2.83 KIPS |
|
|
Image Classification (Q)
|
100% |
21325
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18469
299.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32732
530.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3395
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
109514
127.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
244496
286.4 IPS |
|
|
Object Detection (SP)
|
100% |
1889
149.8 IPS |
|
|
Object Detection (HP)
|
100% |
17958
1.42 KIPS |
|
|
Object Detection (Q)
|
88% |
25996
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
5385
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
41888
497.7 IPS |
|
|
Face Detection (Q)
|
100% |
94574
1.12 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4812
37.1 IPS |
|
|
Depth Estimation (HP)
|
92% |
82228
637.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
156263
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
10131
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
235687
303.0 IPS |
|
|
Style Transfer (Q)
|
98% |
384330
495.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2139
79.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40386
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
72612
2.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2109
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (Q)
|
92% |
3333
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3253
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6443
111.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7097
122.3 IPS |
