Acer Swift SFG14-73
Geekbench AI Score
2289
Single Precision Score
2296
Half Precision Score
4574
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | 653402 |
| Upload Date | April 14 2026 12:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Swift SFG14-73 |
| Motherboard | MTL Goldfish_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1112
206.8 IPS |
|
|
Image Classification (HP)
|
100% |
906
168.6 IPS |
|
|
Image Classification (Q)
|
100% |
1226
228.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
606
9.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
1185
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4377
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4207
4.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
15079
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (Q)
|
88% |
2307
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
3938
46.8 IPS |
|
|
Face Detection (Q)
|
100% |
6221
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3711
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4409
34.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
9555
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11632
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11603
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
38227
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5973
221.2 IPS |
|
|
Text Classification (SP)
|
100% |
1562
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
3043
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1962
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1923
33.1 IPS |
