Acer Swift SF16-51
Geekbench AI Score
2961
Single Precision Score
2962
Half Precision Score
7417
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 10:03 AM |
| Views | 3 |
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 SF16-51 |
| Motherboard | LNL Milkfish_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% |
1833
341.0 IPS |
|
|
Image Classification (HP)
|
100% |
1922
357.4 IPS |
|
|
Image Classification (Q)
|
100% |
4987
927.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4026
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3353
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3370
3.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
12953
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
1820
144.3 IPS |
|
|
Object Detection (Q)
|
88% |
5117
410.2 IPS |
|
|
Face Detection (SP)
|
100% |
5416
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
5355
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
12619
149.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4716
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4679
36.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
13497
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10144
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10027
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36748
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2125
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2120
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7256
268.7 IPS |
|
|
Text Classification (SP)
|
100% |
1891
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
3484
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2355
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2394
41.2 IPS |
