Micro Computer (HK) Tech Limited UM773 Lite
Geekbench AI Score
4873
Single Precision Score
4890
Half Precision Score
8015
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | salvoblunet |
| Upload Date | August 18 2024 12:46 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | Micro Computer (HK) Tech Limited UM773 Lite |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BFD |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 4.83 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3256
605.5 IPS |
|
|
Image Classification (HP)
|
100% |
3266
607.3 IPS |
|
|
Image Classification (Q)
|
100% |
5639
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3135
50.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3032
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4357
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6576
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
6599
7.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
13827
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2958
234.6 IPS |
|
|
Object Detection (HP)
|
100% |
2984
236.7 IPS |
|
|
Object Detection (Q)
|
87% |
5444
436.6 IPS |
|
|
Face Detection (SP)
|
100% |
6012
71.4 IPS |
|
|
Face Detection (HP)
|
100% |
6049
71.9 IPS |
|
|
Face Detection (Q)
|
97% |
14658
174.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8478
65.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
8523
65.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
14938
118.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18765
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19006
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
39385
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3848
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8079
299.2 IPS |
|
|
Text Classification (SP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (Q)
|
91% |
2329
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3753
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3810
65.6 IPS |
|
|
Machine Translation (Q)
|
90% |
3646
63.4 IPS |
