Acer Swift SF14-51
Geekbench AI Score
2072
Single Precision Score
1060
Half Precision Score
4024
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 05:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 226V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Swift SF14-51 |
| Motherboard | LNL Icefish_LNV |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1527
284.0 IPS |
|
|
Image Classification (HP)
|
100% |
473
87.9 IPS |
|
|
Image Classification (Q)
|
99% |
3514
655.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
796
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2094
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2826
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2396
2.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
10432
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (Q)
|
86% |
3519
282.8 IPS |
|
|
Face Detection (SP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
1440
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
5855
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3957
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1676
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7563
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6021
7.74 IPS |
|
|
Style Transfer (HP)
|
100% |
4924
6.33 IPS |
|
|
Style Transfer (Q)
|
98% |
13084
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1272
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
986
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2460
91.1 IPS |
|
|
Text Classification (SP)
|
100% |
1004
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
494
659.9 IPS |
|
|
Text Classification (Q)
|
97% |
1376
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2104
42.3 IPS |
