ALLDOCUBE i1115D
Geekbench AI Score
1044
Single Precision Score
508
Half Precision Score
2023
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KD8UXA |
| Upload Date | December 27 2024 11:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ALLDOCUBE i1115D |
| Motherboard | ALLDOCUBE ALLDOCUBE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
777
144.4 IPS |
|
|
Image Classification (HP)
|
100% |
270
50.2 IPS |
|
|
Image Classification (Q)
|
99% |
2138
398.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
903
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1567
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1304
1.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
4809
5.64 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.7 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
86% |
1730
139.1 IPS |
|
|
Face Detection (SP)
|
100% |
1790
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
566
6.73 IPS |
|
|
Face Detection (Q)
|
97% |
3474
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1638
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
582
4.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
4957
39.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2933
3.77 IPS |
|
|
Style Transfer (HP)
|
100% |
2141
2.75 IPS |
|
|
Style Transfer (Q)
|
98% |
7535
9.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
553
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1610
59.6 IPS |
|
|
Text Classification (SP)
|
100% |
693
924.6 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.1 IPS |
|
|
Text Classification (Q)
|
97% |
335
449.3 IPS |
|
|
Machine Translation (SP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
65% |
1023
20.6 IPS |
