Acer Swift SFG14-72
Geekbench AI Score
3427
Single Precision Score
3499
Half Precision Score
8428
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | August 29 2025 10:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| Model | Acer Swift SFG14-72 |
| Motherboard | MTL Coral_MTH |
| 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 | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2437
453.2 IPS |
|
|
Image Classification (HP)
|
100% |
2426
451.1 IPS |
|
|
Image Classification (Q)
|
100% |
6065
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3136
50.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3087
50.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6303
102.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3449
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3240
3.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
11847
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1934
153.4 IPS |
|
|
Object Detection (HP)
|
100% |
1827
144.9 IPS |
|
|
Object Detection (Q)
|
88% |
4993
400.2 IPS |
|
|
Face Detection (SP)
|
100% |
6080
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
6433
76.4 IPS |
|
|
Face Detection (Q)
|
100% |
12947
153.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5387
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5366
41.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
13213
102.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9641
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9988
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
36121
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2113
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2119
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8690
321.8 IPS |
|
|
Text Classification (SP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (Q)
|
92% |
4385
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2772
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3400
58.6 IPS |
