Acer Swift SFE14-51T
Geekbench AI Score
11418
Single Precision Score
30185
Half Precision Score
35156
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | March 18 2026 05:02 PM |
| Views | 18 |
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% |
7421
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
15333
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
19222
3.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9862
159.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27920
452.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32816
532.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
23717
27.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
137487
160.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
268227
314.0 IPS |
|
|
Object Detection (SP)
|
100% |
6588
522.5 IPS |
|
|
Object Detection (HP)
|
100% |
18058
1.43 KIPS |
|
|
Object Detection (Q)
|
88% |
23235
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
14919
177.3 IPS |
|
|
Face Detection (HP)
|
100% |
35611
423.1 IPS |
|
|
Face Detection (Q)
|
100% |
51080
606.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24831
191.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
63038
485.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
71255
554.1 IPS |
|
|
Style Transfer (SP)
|
100% |
59985
77.1 IPS |
|
|
Style Transfer (HP)
|
100% |
215219
276.7 IPS |
|
|
Style Transfer (Q)
|
98% |
283644
365.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9892
365.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35339
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41875
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
5082
6.78 KIPS |
|
|
Text Classification (Q)
|
92% |
2464
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3686
63.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6811
117.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6888
118.6 IPS |
