Timi TM1604
Geekbench AI Score
474
Single Precision Score
477
Half Precision Score
331
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | grinceur |
| Upload Date | August 18 2024 02:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-7200U |
| 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% |
320
59.4 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (Q)
|
99% |
202
37.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
237
3.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
516
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
517
0.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
464
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
86% |
215
17.3 IPS |
|
|
Face Detection (SP)
|
100% |
579
6.87 IPS |
|
|
Face Detection (HP)
|
100% |
591
7.03 IPS |
|
|
Face Detection (Q)
|
97% |
500
5.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
548
4.22 IPS |
|
|
Depth Estimation (HP)
|
100% |
546
4.20 IPS |
|
|
Depth Estimation (Q)
|
74% |
492
4.00 IPS |
|
|
Style Transfer (SP)
|
100% |
747
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
746
0.96 IPS |
|
|
Style Transfer (Q)
|
98% |
1003
1.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
287
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
582
776.6 IPS |
|
|
Text Classification (HP)
|
100% |
616
821.6 IPS |
|
|
Text Classification (Q)
|
92% |
224
301.2 IPS |
|
|
Machine Translation (SP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
58% |
214
5.02 IPS |
