TIMI Mi NoteBook Ultra
Geekbench AI Score
2617
Single Precision Score
2959
Half Precision Score
1659
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | riki001 |
| Upload Date | April 18 2025 04:54 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1228
228.3 IPS |
|
|
Image Classification (HP)
|
100% |
1347
250.4 IPS |
|
|
Image Classification (Q)
|
100% |
1063
197.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1175
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9799
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12486
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5252
6.15 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
98% |
1386
110.3 IPS |
|
|
Object Detection (Q)
|
86% |
1155
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
2094
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
3429
40.7 IPS |
|
|
Face Detection (Q)
|
97% |
1574
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5403
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6832
52.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3841
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23407
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32757
42.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13689
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3081
113.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4634
171.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1308
48.4 IPS |
|
|
Text Classification (SP)
|
100% |
681
908.8 IPS |
|
|
Text Classification (HP)
|
100% |
312
416.4 IPS |
|
|
Text Classification (Q)
|
97% |
412
552.3 IPS |
|
|
Machine Translation (SP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (Q)
|
70% |
468
8.77 IPS |
