Acer Swift SF14-51
Geekbench AI Score
6599
Single Precision Score
10188
Half Precision Score
4353
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 11:35 AM |
| Views | 2 |
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 SF14-51 |
| Motherboard | LNL Icefish_LNV |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
2949
548.4 IPS |
|
|
Image Classification (HP)
|
100% |
3289
611.6 IPS |
|
|
Image Classification (Q)
|
100% |
2214
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6606
107.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11651
188.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4861
79.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20355
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
79199
92.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17422
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
4046
320.9 IPS |
|
|
Object Detection (HP)
|
100% |
5576
442.3 IPS |
|
|
Object Detection (Q)
|
89% |
2925
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
7918
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
13133
156.0 IPS |
|
|
Face Detection (Q)
|
97% |
5899
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17236
132.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
32272
248.6 IPS |
|
|
Depth Estimation (Q)
|
75% |
11464
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
49325
63.4 IPS |
|
|
Style Transfer (HP)
|
100% |
84904
109.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35099
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8524
314.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10180
375.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4833
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
999
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (Q)
|
97% |
581
778.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1579
27.2 IPS |
|
|
Machine Translation (Q)
|
60% |
669
14.9 IPS |
