Acer Swift SFE14-51T
Geekbench AI Score
11083
Single Precision Score
25449
Half Precision Score
28793
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 11:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7419
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
12164
2.26 KIPS |
|
|
Image Classification (Q)
|
100% |
14892
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9944
161.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25910
420.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30331
491.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
23301
27.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
133252
155.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
252359
295.5 IPS |
|
|
Object Detection (SP)
|
100% |
6550
519.5 IPS |
|
|
Object Detection (HP)
|
100% |
13448
1.07 KIPS |
|
|
Object Detection (Q)
|
88% |
14147
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
14496
172.2 IPS |
|
|
Face Detection (HP)
|
100% |
33717
400.6 IPS |
|
|
Face Detection (Q)
|
100% |
44202
525.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24692
190.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52342
403.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
65822
511.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51824
66.6 IPS |
|
|
Style Transfer (HP)
|
100% |
152429
195.9 IPS |
|
|
Style Transfer (Q)
|
98% |
162328
209.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9596
354.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24448
902.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29582
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
4063
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4526
6.04 KIPS |
|
|
Text Classification (Q)
|
92% |
2471
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6780
117.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7036
121.2 IPS |
