Acer Swift SFE14-51T
Geekbench AI Score
3200
Single Precision Score
1469
Half Precision Score
6528
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | March 18 2026 04:54 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
602
111.9 IPS |
|
|
Image Classification (Q)
|
99% |
5308
990.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
915
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7115
115.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4769
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3483
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
17144
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.6 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
86% |
5413
435.0 IPS |
|
|
Face Detection (SP)
|
100% |
6403
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
8531
101.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6182
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2197
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13371
106.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11893
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8750
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
21119
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2257
83.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4902
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
686
916.3 IPS |
|
|
Text Classification (Q)
|
97% |
1266
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2044
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2684
53.9 IPS |
