Acer Swift SF16-51T
Geekbench AI Score
3037
Single Precision Score
1359
Half Precision Score
6082
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 13 2025 03:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Swift SF16-51T |
| Motherboard | LNL Milkfish_LNV |
| Power Plan | High performance |
| 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% |
2292
426.2 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (Q)
|
99% |
4823
899.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1192
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6464
105.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4800
5.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3363
3.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
16612
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.4 IPS |
|
|
Object Detection (HP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (Q)
|
86% |
4971
399.5 IPS |
|
|
Face Detection (SP)
|
100% |
5976
71.0 IPS |
|
|
Face Detection (HP)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
8004
95.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6144
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1938
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12393
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11778
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8546
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19279
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2231
82.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4802
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
1326
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
644
859.8 IPS |
|
|
Text Classification (Q)
|
97% |
1283
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1795
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2284
45.9 IPS |
