Acer Swift SFG16-72
Geekbench AI Score
2135
Single Precision Score
8398
Half Precision Score
13096
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Speedmoonday |
| Upload Date | October 09 2025 10:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Acer Swift SFG16-72 |
| 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% |
1127
209.6 IPS |
|
|
Image Classification (HP)
|
100% |
5893
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
7978
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2458
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3118
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3911
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
30221
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
64818
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1525
121.0 IPS |
|
|
Object Detection (HP)
|
100% |
5061
401.4 IPS |
|
|
Object Detection (Q)
|
88% |
8614
690.6 IPS |
|
|
Face Detection (SP)
|
100% |
4831
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
14052
167.0 IPS |
|
|
Face Detection (Q)
|
100% |
26997
320.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1640
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15989
123.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30190
234.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3218
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
45062
57.9 IPS |
|
|
Style Transfer (Q)
|
98% |
83110
107.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2067
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13563
500.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25814
956.0 IPS |
|
|
Text Classification (SP)
|
100% |
1749
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1617
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
1742
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2529
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3550
61.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3509
60.4 IPS |
