Acer Swift SF14-51
Geekbench AI Score
2886
Single Precision Score
20664
Half Precision Score
28627
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 09:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1860
345.9 IPS |
|
|
Image Classification (HP)
|
100% |
11372
2.11 KIPS |
|
|
Image Classification (Q)
|
100% |
17231
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11479
186.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14573
236.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3307
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
101165
118.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
192948
226.0 IPS |
|
|
Object Detection (SP)
|
100% |
1791
142.1 IPS |
|
|
Object Detection (HP)
|
100% |
13960
1.11 KIPS |
|
|
Object Detection (Q)
|
87% |
17937
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
5347
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
25617
304.4 IPS |
|
|
Face Detection (Q)
|
100% |
45666
542.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4603
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
67386
519.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
99961
777.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9845
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
204610
263.0 IPS |
|
|
Style Transfer (Q)
|
98% |
274523
354.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32311
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52586
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
1730
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2371
3.16 KIPS |
|
|
Text Classification (Q)
|
92% |
2399
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2209
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2691
46.4 IPS |
