Acer Swift SFE14-51T
Geekbench AI Score
3181
Single Precision Score
30007
Half Precision Score
47901
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 10:11 PM |
| Views | 4 |
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% |
1982
368.6 IPS |
|
|
Image Classification (HP)
|
100% |
16195
3.01 KIPS |
|
|
Image Classification (Q)
|
100% |
21133
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19603
317.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32600
528.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3389
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
110797
129.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
245439
287.5 IPS |
|
|
Object Detection (SP)
|
100% |
1913
151.8 IPS |
|
|
Object Detection (HP)
|
100% |
17929
1.42 KIPS |
|
|
Object Detection (Q)
|
88% |
26780
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
5600
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
42900
509.7 IPS |
|
|
Face Detection (Q)
|
100% |
93989
1.12 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4722
36.4 IPS |
|
|
Depth Estimation (HP)
|
92% |
84202
653.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
162807
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
10114
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
242063
311.2 IPS |
|
|
Style Transfer (Q)
|
98% |
402780
519.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39983
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
68917
2.55 KIPS |
|
|
Text Classification (SP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (Q)
|
92% |
3149
4.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8726
150.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10501
180.9 IPS |
