Acer Swift SFG14-72
Geekbench AI Score
3252
Single Precision Score
3271
Half Precision Score
7931
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | ciassoc |
| Upload Date | August 16 2024 10:13 AM |
| Views | 12 |
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% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (Q)
|
100% |
4792
891.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4204
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3697
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3664
4.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
13147
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1906
151.2 IPS |
|
|
Object Detection (HP)
|
100% |
1931
153.2 IPS |
|
|
Object Detection (Q)
|
88% |
4960
397.6 IPS |
|
|
Face Detection (SP)
|
100% |
5645
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
5578
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
11763
139.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4922
37.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
4969
38.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
13282
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10860
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11005
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37920
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2259
83.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2273
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7957
294.7 IPS |
|
|
Text Classification (SP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2068
2.76 KIPS |
|
|
Text Classification (Q)
|
92% |
3650
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2920
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2928
50.4 IPS |
|
|
Machine Translation (Q)
|
85% |
4360
76.3 IPS |
