Micro Computer (HK) Tech Limited UM773 SE
Geekbench AI Score
90
Single Precision Score
89
Half Precision Score
62
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | January 12 2025 02:27 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | Micro Computer (HK) Tech Limited UM773 SE |
| 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 | 29.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
55
10.3 IPS |
|
|
Image Classification (HP)
|
100% |
54
10.1 IPS |
|
|
Image Classification (Q)
|
97% |
40
7.52 IPS |
|
|
Image Segmentation (SP)
|
100% |
71
1.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
71
1.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
53
0.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
81
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
80
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
62
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
50
3.98 IPS |
|
|
Object Detection (HP)
|
100% |
50
3.94 IPS |
|
|
Object Detection (Q)
|
87% |
37
2.94 IPS |
|
|
Face Detection (SP)
|
100% |
165
1.96 IPS |
|
|
Face Detection (HP)
|
100% |
166
1.97 IPS |
|
|
Face Detection (Q)
|
97% |
123
1.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
118
0.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
118
0.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
75
0.69 IPS |
|
|
Style Transfer (SP)
|
100% |
244
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
244
0.31 IPS |
|
|
Style Transfer (Q)
|
98% |
189
0.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53
1.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53
1.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
39
1.46 IPS |
|
|
Text Classification (SP)
|
100% |
69
92.1 IPS |
|
|
Text Classification (HP)
|
100% |
69
92.5 IPS |
|
|
Text Classification (Q)
|
91% |
47
63.8 IPS |
|
|
Machine Translation (SP)
|
100% |
127
2.19 IPS |
|
|
Machine Translation (HP)
|
100% |
126
2.16 IPS |
|
|
Machine Translation (Q)
|
58% |
61
1.45 IPS |
