Acer Swift SFG14-73
Geekbench AI Score
2437
Single Precision Score
9110
Half Precision Score
13973
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 01:55 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% |
1604
298.2 IPS |
|
|
Image Classification (HP)
|
100% |
6246
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8835
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2981
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3314
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
29837
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
65612
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1250
99.1 IPS |
|
|
Object Detection (HP)
|
100% |
5443
431.7 IPS |
|
|
Object Detection (Q)
|
88% |
9193
737.0 IPS |
|
|
Face Detection (SP)
|
100% |
4020
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
16305
193.7 IPS |
|
|
Face Detection (Q)
|
100% |
29411
349.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3240
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17327
133.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
31539
245.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8711
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49716
63.9 IPS |
|
|
Style Transfer (Q)
|
98% |
88334
113.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14242
525.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27556
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1930
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4198
72.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4246
73.1 IPS |
