Acer Swift SF14-51
Geekbench AI Score
8146
Single Precision Score
15184
Half Precision Score
5149
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 10:01 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% |
4141
770.0 IPS |
|
|
Image Classification (HP)
|
100% |
5702
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
2853
530.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6921
112.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13011
210.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5069
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21595
25.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
98737
115.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18182
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
4082
323.8 IPS |
|
|
Object Detection (HP)
|
100% |
7887
625.6 IPS |
|
|
Object Detection (Q)
|
89% |
3375
270.0 IPS |
|
|
Face Detection (SP)
|
100% |
7893
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
15380
182.7 IPS |
|
|
Face Detection (Q)
|
97% |
5941
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20047
154.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36490
281.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
12807
103.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56983
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
191197
245.8 IPS |
|
|
Style Transfer (Q)
|
98% |
36502
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10690
394.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18571
685.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5792
214.5 IPS |
|
|
Text Classification (SP)
|
100% |
1705
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1687
2.25 KIPS |
|
|
Text Classification (Q)
|
97% |
779
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1179
26.3 IPS |
