Acer Swift SFE14-51T Windows11 ONNX DirectML Acer Swift SFE14-51T
Geekbench AI Score
8631
Single Precision Score
16989
Half Precision Score
5704
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | diegotomc |
| Upload Date | March 27 2026 03:16 AM |
| Views | 7 |
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(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4667
868.0 IPS |
|
|
Image Classification (HP)
|
100% |
6787
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
3307
615.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7215
117.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15412
249.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5290
86.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22642
26.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
113608
132.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18939
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
5982
474.5 IPS |
|
|
Object Detection (HP)
|
100% |
10492
832.3 IPS |
|
|
Object Detection (Q)
|
88% |
4652
373.0 IPS |
|
|
Face Detection (SP)
|
100% |
10706
127.2 IPS |
|
|
Face Detection (HP)
|
100% |
20692
245.9 IPS |
|
|
Face Detection (Q)
|
97% |
7646
91.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22515
173.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44626
343.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14449
115.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54997
70.7 IPS |
|
|
Style Transfer (HP)
|
100% |
194696
250.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39975
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10526
388.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20154
744.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5657
209.5 IPS |
|
|
Text Classification (SP)
|
100% |
1127
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1416
1.89 KIPS |
|
|
Text Classification (Q)
|
97% |
757
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3132
53.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1252
23.5 IPS |
