Acer Swift SFE14-51T
Geekbench AI Score
8411
Single Precision Score
14760
Half Precision Score
5383
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | March 18 2026 04:59 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
4510
838.7 IPS |
|
|
Image Classification (HP)
|
100% |
5182
963.7 IPS |
|
|
Image Classification (Q)
|
100% |
2953
549.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7328
118.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13763
223.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5127
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21737
25.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
84397
98.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17815
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
5488
435.3 IPS |
|
|
Object Detection (HP)
|
100% |
7916
627.9 IPS |
|
|
Object Detection (Q)
|
88% |
4232
339.4 IPS |
|
|
Face Detection (SP)
|
100% |
10300
122.4 IPS |
|
|
Face Detection (HP)
|
100% |
18397
218.6 IPS |
|
|
Face Detection (Q)
|
97% |
7009
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21154
163.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41696
321.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
13518
108.0 IPS |
|
|
Style Transfer (SP)
|
100% |
52426
67.4 IPS |
|
|
Style Transfer (HP)
|
100% |
183020
235.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37988
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10154
374.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17629
651.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5431
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
1195
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1464
1.95 KIPS |
|
|
Text Classification (Q)
|
97% |
705
944.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3243
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2843
49.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1300
24.4 IPS |
