Timi TM1604
Geekbench AI Score
1118
Single Precision Score
1727
Half Precision Score
1635
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | grinceur |
| Upload Date | August 18 2024 02:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) HD Graphics 620 (iGPU) |
| 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% |
728
135.3 IPS |
|
|
Image Classification (HP)
|
100% |
1226
228.0 IPS |
|
|
Image Classification (Q)
|
100% |
1131
210.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1179
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2173
2.54 IPS |
|
|
Pose Estimation (HP)
|
99% |
2098
2.45 IPS |
|
|
Pose Estimation (Q)
|
97% |
3015
3.53 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (HP)
|
99% |
1169
93.0 IPS |
|
|
Object Detection (Q)
|
88% |
1114
89.3 IPS |
|
|
Face Detection (SP)
|
100% |
1289
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
2622
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
2470
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2304
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3969
30.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
3444
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5869
7.54 IPS |
|
|
Style Transfer (HP)
|
100% |
7047
9.06 IPS |
|
|
Style Transfer (Q)
|
98% |
6284
8.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1604
59.4 IPS |
|
|
Text Classification (SP)
|
71% |
509
736.3 IPS |
|
|
Text Classification (HP)
|
71% |
658
952.1 IPS |
|
|
Text Classification (Q)
|
92% |
498
669.6 IPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
97% |
738
12.8 IPS |
|
|
Machine Translation (Q)
|
90% |
715
12.4 IPS |
