TIMI Xiaomi Book Pro 14 2022
Geekbench AI Score
2676
Single Precision Score
1090
Half Precision Score
4611
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dd88 |
| Upload Date | December 07 2024 04:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1240P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT LTSC (64-bit) |
| Model | TIMI Xiaomi Book Pro 14 2022 |
| Motherboard | TIMI TM2117 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
99% |
3709
691.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2323
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4513
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3255
3.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
13903
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1993
158.1 IPS |
|
|
Object Detection (HP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (Q)
|
86% |
3963
318.5 IPS |
|
|
Face Detection (SP)
|
100% |
4637
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
1162
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
6437
76.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5647
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1605
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10761
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10712
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7709
9.91 IPS |
|
|
Style Transfer (Q)
|
98% |
17143
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1996
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2867
106.2 IPS |
|
|
Text Classification (SP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
527
702.9 IPS |
|
|
Text Classification (Q)
|
97% |
1319
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
547
9.42 IPS |
|
|
Machine Translation (Q)
|
65% |
2040
41.0 IPS |
