iPad16,5
Geekbench AI Score
3272
Single Precision Score
18939
Half Precision Score
21995
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | 3Dman |
| Upload Date | August 18 2024 12:41 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1610
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
8796
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
9932
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6851
111.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
6883
111.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9738
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
107153
125.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
186537
218.8 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
11361
901.2 IPS |
|
|
Object Detection (Q)
|
93% |
14527
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16088
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
19903
236.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5709
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
62686
483.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
68744
531.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14918
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
159635
205.2 IPS |
|
|
Style Transfer (Q)
|
100% |
160067
205.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4844
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23175
855.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
35259
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
1836
2.45 KIPS |
|
|
Text Classification (HP)
|
71% |
7261
10.4 KIPS |
|
|
Text Classification (Q)
|
69% |
6082
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2988
51.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3047
52.7 IPS |
