Timi TM1604
Geekbench AI Score
920
Single Precision Score
920
Half Precision Score
1535
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | grinceur |
| Upload Date | August 18 2024 02:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7200U CPU @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Timi TM1604 |
| Motherboard | Timi TM1604 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
531
98.7 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (Q)
|
100% |
975
181.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (Q)
|
99% |
880
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1052
1.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
2075
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (HP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (Q)
|
87% |
941
75.5 IPS |
|
|
Face Detection (SP)
|
100% |
1140
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1146
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
2359
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1462
11.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
1469
11.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
2522
20.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3227
4.15 IPS |
|
|
Style Transfer (HP)
|
100% |
3246
4.17 IPS |
|
|
Style Transfer (Q)
|
98% |
5970
7.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
672
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1254
46.4 IPS |
|
|
Text Classification (SP)
|
100% |
747
997.4 IPS |
|
|
Text Classification (HP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
91% |
840
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (Q)
|
90% |
1165
20.2 IPS |
