Acer Swift SFE14-51T
Geekbench AI Score
3099
Single Precision Score
30110
Half Precision Score
49336
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 11:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1906
354.5 IPS |
|
|
Image Classification (HP)
|
100% |
15456
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
22276
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19459
315.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32170
521.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3333
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
112038
130.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
251446
294.5 IPS |
|
|
Object Detection (SP)
|
100% |
1779
141.1 IPS |
|
|
Object Detection (HP)
|
100% |
18060
1.43 KIPS |
|
|
Object Detection (Q)
|
88% |
26943
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
5547
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
43111
512.2 IPS |
|
|
Face Detection (Q)
|
100% |
93434
1.11 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4628
35.7 IPS |
|
|
Depth Estimation (HP)
|
92% |
83810
650.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
158006
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
9717
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245300
315.3 IPS |
|
|
Style Transfer (Q)
|
98% |
402400
518.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44145
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84980
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (Q)
|
92% |
3475
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3248
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8555
147.4 IPS |
|
|
Machine Translation (Q)
|
100% |
10032
172.8 IPS |
