Acer Swift SFG14-73
Geekbench AI Score
2495
Single Precision Score
9000
Half Precision Score
13912
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 01:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG14-73 |
| Motherboard | MTL Goldfish_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1080
200.9 IPS |
|
|
Image Classification (HP)
|
100% |
5789
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
8566
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2984
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3301
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
29857
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
65663
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
100% |
5386
427.2 IPS |
|
|
Object Detection (Q)
|
88% |
9092
728.9 IPS |
|
|
Face Detection (SP)
|
100% |
4408
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
16333
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
29680
352.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3905
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17148
132.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
31131
242.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10255
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49889
64.1 IPS |
|
|
Style Transfer (Q)
|
98% |
89395
115.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2041
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14192
524.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27354
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1776
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1929
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4182
72.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4231
72.9 IPS |
