Acer Swift SFG14-73
Geekbench AI Score
2269
Single Precision Score
8959
Half Precision Score
13936
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | close2mars |
| Upload Date | November 09 2025 12:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Swift SFG14-73 |
| Motherboard | MTL Goldfish_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1156
215.0 IPS |
|
|
Image Classification (HP)
|
100% |
6218
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8776
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3134
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2770
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
29521
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
65413
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1182
93.8 IPS |
|
|
Object Detection (HP)
|
100% |
5434
431.0 IPS |
|
|
Object Detection (Q)
|
88% |
9185
736.3 IPS |
|
|
Face Detection (SP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
15536
184.6 IPS |
|
|
Face Detection (Q)
|
100% |
29153
346.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3478
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16879
130.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
31081
241.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9138
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
47583
61.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85636
110.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14250
526.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27508
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1582
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1866
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1898
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1603
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4055
69.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4130
71.1 IPS |
