Acer Swift SFE14-51T
Geekbench AI Score
3226
Single Precision Score
2238
Half Precision Score
8375
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 10:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1991
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
1418
263.7 IPS |
|
|
Image Classification (Q)
|
100% |
5445
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4998
81.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3400
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2277
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
13400
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1921
152.4 IPS |
|
|
Object Detection (HP)
|
100% |
1347
106.9 IPS |
|
|
Object Detection (Q)
|
88% |
5650
452.9 IPS |
|
|
Face Detection (SP)
|
100% |
5789
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
4401
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
13699
162.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4820
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3289
25.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14401
112.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10125
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6632
8.53 IPS |
|
|
Style Transfer (Q)
|
98% |
36452
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7899
292.5 IPS |
|
|
Text Classification (SP)
|
100% |
2116
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
4382
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2867
49.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3313
57.1 IPS |
