Acer Swift SF14-51
Geekbench AI Score
2397
Single Precision Score
1874
Half Precision Score
7711
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF14-51 |
| Motherboard | LNL Icefish_LNV |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
814
151.4 IPS |
|
|
Image Classification (Q)
|
100% |
3622
673.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1046
17.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4896
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3358
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2213
2.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
12949
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1204
95.5 IPS |
|
|
Object Detection (HP)
|
100% |
723
57.3 IPS |
|
|
Object Detection (Q)
|
88% |
5130
411.3 IPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
4264
50.7 IPS |
|
|
Face Detection (Q)
|
100% |
13417
159.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4685
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3165
24.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13948
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6552
8.42 IPS |
|
|
Style Transfer (HP)
|
100% |
6353
8.17 IPS |
|
|
Style Transfer (Q)
|
98% |
35560
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2078
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7578
280.6 IPS |
|
|
Text Classification (SP)
|
100% |
1792
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1198
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
3810
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2679
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3286
56.6 IPS |
