Timi TM1604
Geekbench AI Score
698
Single Precision Score
292
Half Precision Score
936
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | grinceur |
| Upload Date | August 18 2024 02:43 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
398
74.0 IPS |
|
|
Image Classification (HP)
|
100% |
85
15.8 IPS |
|
|
Image Classification (Q)
|
94% |
614
114.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
118
1.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
673
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
886
1.03 IPS |
|
|
Pose Estimation (Q)
|
87% |
1978
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.34 IPS |
|
|
Object Detection (Q)
|
86% |
459
36.9 IPS |
|
|
Face Detection (SP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (HP)
|
100% |
154
1.83 IPS |
|
|
Face Detection (Q)
|
96% |
1140
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1258
9.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
422
3.25 IPS |
|
|
Depth Estimation (Q)
|
76% |
1163
9.37 IPS |
|
|
Style Transfer (SP)
|
100% |
2788
3.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2193
2.82 IPS |
|
|
Style Transfer (Q)
|
87% |
3283
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
845
31.3 IPS |
|
|
Text Classification (SP)
|
100% |
539
719.5 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.3 IPS |
|
|
Text Classification (Q)
|
97% |
628
840.9 IPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (Q)
|
60% |
597
13.3 IPS |
