Acer Swift SF314-512
Geekbench AI Score
2593
Single Precision Score
1048
Half Precision Score
4207
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 03:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1240P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF314-512 |
| Motherboard | ADL Shark_ADP |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2027
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.2 IPS |
|
|
Image Classification (Q)
|
99% |
3394
633.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2215
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4459
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3052
3.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
12643
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
2006
159.1 IPS |
|
|
Object Detection (HP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (Q)
|
86% |
3576
287.4 IPS |
|
|
Face Detection (SP)
|
100% |
4706
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
1122
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
5911
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5572
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1525
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9574
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10441
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7083
9.11 IPS |
|
|
Style Transfer (Q)
|
98% |
14658
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1932
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2737
101.4 IPS |
|
|
Text Classification (SP)
|
100% |
1137
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
509
679.9 IPS |
|
|
Text Classification (Q)
|
97% |
1245
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
65% |
1810
36.4 IPS |
