Micro Computer (HK) Tech Limited Uranus Series
Geekbench AI Score
169
Single Precision Score
174
Half Precision Score
120
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | appstudios |
| Upload Date | May 24 2025 04:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Micro Computer (HK) Tech Limited Uranus Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd RPFXI |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 94.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (Q)
|
97% |
79
14.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
129
2.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
93
1.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
149
0.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
155
0.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
130
0.15 IPS |
|
|
Object Detection (SP)
|
100% |
99
7.82 IPS |
|
|
Object Detection (HP)
|
100% |
101
8.02 IPS |
|
|
Object Detection (Q)
|
87% |
79
6.31 IPS |
|
|
Face Detection (SP)
|
100% |
335
3.98 IPS |
|
|
Face Detection (HP)
|
100% |
330
3.92 IPS |
|
|
Face Detection (Q)
|
97% |
248
2.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
240
1.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
241
1.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
160
1.47 IPS |
|
|
Style Transfer (SP)
|
100% |
502
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
460
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
393
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
104
3.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
110
4.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
79
2.92 IPS |
|
|
Text Classification (SP)
|
100% |
127
168.9 IPS |
|
|
Text Classification (HP)
|
100% |
127
169.3 IPS |
|
|
Text Classification (Q)
|
91% |
72
96.4 IPS |
|
|
Machine Translation (SP)
|
100% |
201
3.47 IPS |
|
|
Machine Translation (HP)
|
100% |
229
3.95 IPS |
|
|
Machine Translation (Q)
|
58% |
94
2.24 IPS |
