TIMI Xiaomi NoteBook Pro
Geekbench AI Score
4930
Single Precision Score
4630
Half Precision Score
3611
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 09 2025 12:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX550 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | TIMI Xiaomi NoteBook Pro |
| Motherboard | TIMI TM2105 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1833
340.9 IPS |
|
|
Image Classification (HP)
|
100% |
2050
381.2 IPS |
|
|
Image Classification (Q)
|
99% |
1635
305.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3071
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3301
53.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2536
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18377
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13870
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
15739
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.5 IPS |
|
|
Object Detection (HP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (Q)
|
83% |
2033
164.3 IPS |
|
|
Face Detection (SP)
|
100% |
4514
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
5360
63.7 IPS |
|
|
Face Detection (Q)
|
97% |
3821
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11691
90.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10211
78.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8861
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37895
48.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27898
35.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29990
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6485
239.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6313
233.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4390
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
1514
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
770
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1827
31.6 IPS |
|
|
Machine Translation (Q)
|
70% |
830
15.6 IPS |
