Acer Swift SFG14-74
Geekbench AI Score
4487
Single Precision Score
9791
Half Precision Score
14731
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cfy0713 |
| Upload Date | April 22 2025 01:30 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Swift SFG14-74 |
| Motherboard | ARL Crayfish_ARH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
6780
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
9646
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3631
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3890
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6576
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
34348
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
73644
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
2192
173.8 IPS |
|
|
Object Detection (HP)
|
100% |
6016
477.2 IPS |
|
|
Object Detection (Q)
|
87% |
9865
791.8 IPS |
|
|
Face Detection (SP)
|
100% |
8075
95.9 IPS |
|
|
Face Detection (HP)
|
100% |
16239
193.0 IPS |
|
|
Face Detection (Q)
|
100% |
27504
326.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7220
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19192
147.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
34546
268.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20477
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53758
69.1 IPS |
|
|
Style Transfer (Q)
|
98% |
94578
122.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3138
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14133
521.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23614
874.5 IPS |
|
|
Text Classification (SP)
|
100% |
2759
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2031
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4061
69.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4097
70.6 IPS |
