TIMI Mi NoteBook Ultra
Geekbench AI Score
1844
Single Precision Score
1017
Half Precision Score
4108
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | riki001 |
| Upload Date | April 18 2025 04:45 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11320H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | TIMI Mi NoteBook Ultra |
| Motherboard | TIMI TM2127 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11320H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1298
241.4 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.7 IPS |
|
|
Image Classification (Q)
|
99% |
4116
767.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
594
9.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
2162
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2489
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2310
2.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
10614
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1613
127.9 IPS |
|
|
Object Detection (HP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (Q)
|
86% |
3543
284.7 IPS |
|
|
Face Detection (SP)
|
100% |
2433
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
5607
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4187
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1497
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9020
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5452
7.01 IPS |
|
|
Style Transfer (HP)
|
100% |
5320
6.84 IPS |
|
|
Style Transfer (Q)
|
98% |
10682
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1481
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1307
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2842
105.2 IPS |
|
|
Text Classification (SP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
682
910.0 IPS |
|
|
Text Classification (Q)
|
97% |
1380
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.62 IPS |
|
|
Machine Translation (Q)
|
65% |
1935
38.9 IPS |
