Acer Swift SFG16-72
Geekbench AI Score
1894
Single Precision Score
1792
Half Precision Score
3402
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Speedmoonday |
| Upload Date | October 09 2025 10:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| 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% |
1339
249.0 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.6 IPS |
|
|
Image Classification (Q)
|
100% |
2086
387.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1890
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2824
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3676
4.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
4716
5.52 IPS |
|
|
Object Detection (SP)
|
100% |
558
44.3 IPS |
|
|
Object Detection (HP)
|
100% |
830
65.8 IPS |
|
|
Object Detection (Q)
|
88% |
1643
131.7 IPS |
|
|
Face Detection (SP)
|
100% |
2756
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2487
29.6 IPS |
|
|
Face Detection (Q)
|
100% |
3783
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4243
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4249
32.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
7810
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8963
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8969
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22064
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1697
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1068
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3154
116.8 IPS |
|
|
Text Classification (SP)
|
100% |
889
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (Q)
|
92% |
1822
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1976
34.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1819
31.3 IPS |
