Acer Swift SFE14-51T
Geekbench AI Score
11396
Single Precision Score
30457
Half Precision Score
34472
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 10:08 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7524
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
15594
2.90 KIPS |
|
|
Image Classification (Q)
|
100% |
19838
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9870
160.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27836
451.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32728
530.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23332
27.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
140203
163.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
267300
312.9 IPS |
|
|
Object Detection (SP)
|
100% |
6765
536.6 IPS |
|
|
Object Detection (HP)
|
100% |
16795
1.33 KIPS |
|
|
Object Detection (Q)
|
88% |
21642
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
15038
178.7 IPS |
|
|
Face Detection (HP)
|
100% |
35685
424.0 IPS |
|
|
Face Detection (Q)
|
100% |
51311
609.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24612
189.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
62533
481.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
69554
540.9 IPS |
|
|
Style Transfer (SP)
|
100% |
59643
76.7 IPS |
|
|
Style Transfer (HP)
|
100% |
216466
278.3 IPS |
|
|
Style Transfer (Q)
|
98% |
291294
375.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9921
366.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35790
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35270
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
92% |
2469
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6999
121.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6970
120.1 IPS |
