ALLDOCUBE i1115D
Geekbench AI Score
1941
Single Precision Score
2190
Half Precision Score
1334
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KD8UXA |
| Upload Date | December 27 2024 11:57 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1021
189.8 IPS |
|
|
Image Classification (HP)
|
100% |
1086
202.0 IPS |
|
|
Image Classification (Q)
|
100% |
888
165.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
912
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5108
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
7461
8.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
3402
3.99 IPS |
|
|
Object Detection (SP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (HP)
|
98% |
1014
80.7 IPS |
|
|
Object Detection (Q)
|
86% |
878
70.6 IPS |
|
|
Face Detection (SP)
|
100% |
2021
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
1499
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3934
30.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4511
34.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2850
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15287
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21170
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10768
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2730
100.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3419
126.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1199
44.4 IPS |
|
|
Text Classification (SP)
|
100% |
571
762.4 IPS |
|
|
Text Classification (HP)
|
100% |
334
446.2 IPS |
|
|
Text Classification (Q)
|
97% |
354
474.5 IPS |
|
|
Machine Translation (SP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
70% |
379
7.10 IPS |
