Acer Swift SF14-51
Geekbench AI Score
7882
Single Precision Score
14241
Half Precision Score
5313
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 09:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Swift SF14-51 |
| Motherboard | LNL Icefish_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% |
4096
761.7 IPS |
|
|
Image Classification (HP)
|
100% |
5085
945.7 IPS |
|
|
Image Classification (Q)
|
100% |
3162
588.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7063
114.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12485
202.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4753
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21008
24.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
95489
111.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
18364
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
4996
396.3 IPS |
|
|
Object Detection (HP)
|
100% |
7908
627.3 IPS |
|
|
Object Detection (Q)
|
89% |
3739
299.1 IPS |
|
|
Face Detection (SP)
|
100% |
8668
103.0 IPS |
|
|
Face Detection (HP)
|
100% |
13345
158.6 IPS |
|
|
Face Detection (Q)
|
97% |
6149
73.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18805
144.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
36316
279.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
12580
101.5 IPS |
|
|
Style Transfer (SP)
|
100% |
52127
67.0 IPS |
|
|
Style Transfer (HP)
|
100% |
186078
239.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38132
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8428
311.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16916
624.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5891
218.1 IPS |
|
|
Text Classification (SP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1672
2.23 KIPS |
|
|
Text Classification (Q)
|
97% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2807
48.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1320
29.4 IPS |
