Acer Swift SFG14-72
Geekbench AI Score
5265
Single Precision Score
7463
Half Precision Score
10284
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | ciassoc |
| Upload Date | October 18 2024 10:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
3641
677.1 IPS |
|
|
Image Classification (HP)
|
100% |
4234
787.3 IPS |
|
|
Image Classification (Q)
|
100% |
4909
912.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3799
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7105
115.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9707
157.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22775
26.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
21207
24.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
61168
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
4740
376.0 IPS |
|
|
Object Detection (Q)
|
88% |
4246
340.3 IPS |
|
|
Face Detection (SP)
|
100% |
7670
91.1 IPS |
|
|
Face Detection (HP)
|
100% |
11920
141.6 IPS |
|
|
Face Detection (Q)
|
100% |
17467
207.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14091
108.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
16263
125.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
23260
180.8 IPS |
|
|
Style Transfer (SP)
|
100% |
52549
67.6 IPS |
|
|
Style Transfer (HP)
|
100% |
64619
83.1 IPS |
|
|
Style Transfer (Q)
|
98% |
123522
159.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3931
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9790
361.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14467
535.8 IPS |
|
|
Text Classification (SP)
|
71% |
749
1.08 KIPS |
|
|
Text Classification (HP)
|
71% |
977
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1021
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1480
25.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1443
24.9 IPS |
