Acer Swift SFG14-72
Geekbench AI Score
3238
Single Precision Score
3270
Half Precision Score
7937
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | ciassoc |
| Upload Date | August 16 2024 10:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | openSUSE Tumbleweed |
| 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 | 31.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
2015
374.8 IPS |
|
|
Image Classification (Q)
|
100% |
4810
894.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2293
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4191
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3638
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3653
4.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
13224
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (HP)
|
100% |
1936
153.6 IPS |
|
|
Object Detection (Q)
|
88% |
4912
393.8 IPS |
|
|
Face Detection (SP)
|
100% |
5591
66.4 IPS |
|
|
Face Detection (HP)
|
100% |
5648
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
11614
138.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4895
37.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
5010
38.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
13159
104.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10883
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10995
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38060
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2269
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2286
84.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8011
296.7 IPS |
|
|
Text Classification (SP)
|
100% |
2025
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2063
2.75 KIPS |
|
|
Text Classification (Q)
|
92% |
3651
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2883
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2918
50.3 IPS |
|
|
Machine Translation (Q)
|
85% |
4457
78.0 IPS |
