iPad16,6
Geekbench AI Score
8598
Single Precision Score
10607
Half Precision Score
9363
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | icreatefrance |
| Upload Date | November 09 2024 12:59 PM |
| Views | 10 |
| Notes | iPad Pro M4 2024 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4439
825.5 IPS |
|
|
Image Classification (HP)
|
100% |
4777
888.3 IPS |
|
|
Image Classification (Q)
|
97% |
4117
768.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4875
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6702
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7195
116.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28149
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30157
35.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
28550
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4566
362.1 IPS |
|
|
Object Detection (HP)
|
100% |
5195
412.0 IPS |
|
|
Object Detection (Q)
|
91% |
4435
354.4 IPS |
|
|
Face Detection (SP)
|
100% |
12692
150.8 IPS |
|
|
Face Detection (HP)
|
100% |
16204
192.5 IPS |
|
|
Face Detection (Q)
|
100% |
11920
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20208
155.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22377
172.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19150
149.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56006
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
67505
86.8 IPS |
|
|
Style Transfer (Q)
|
96% |
63736
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11784
435.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12637
466.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10259
378.8 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5556
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5541
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1586
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1670
28.9 IPS |
