ACER SWIFT GO 16 ULTRA 9 185H Acer Swift SFG16-72T
Geekbench AI Score
2789
Single Precision Score
1038
Half Precision Score
5047
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | DELLPHOTO |
| Upload Date | February 02 2026 11:40 AM |
| Views | 4 |
| Notes | Acer Swift SFG16-72T 32GB DDR5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG16-72T |
| Motherboard | MTL Pipefish_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% |
2770
515.1 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.5 IPS |
|
|
Image Classification (Q)
|
99% |
3023
563.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
908
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6820
110.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4747
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2888
3.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
16771
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (Q)
|
86% |
4483
360.3 IPS |
|
|
Face Detection (SP)
|
100% |
6233
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
892
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
6672
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5798
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1387
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10959
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10535
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6923
8.90 IPS |
|
|
Style Transfer (Q)
|
98% |
15470
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1868
69.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3338
123.6 IPS |
|
|
Text Classification (SP)
|
100% |
1159
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
573
765.1 IPS |
|
|
Text Classification (Q)
|
97% |
946
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
1940
39.0 IPS |
