iPad16,6
Geekbench AI Score
4442
Single Precision Score
6326
Half Precision Score
5241
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Ekatak |
| Upload Date | August 26 2024 01:31 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1941
361.0 IPS |
|
|
Image Classification (HP)
|
100% |
2597
483.0 IPS |
|
|
Image Classification (Q)
|
99% |
2578
480.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1755
28.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1751
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9906
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18761
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16015
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2077
164.7 IPS |
|
|
Object Detection (HP)
|
97% |
3022
240.6 IPS |
|
|
Object Detection (Q)
|
94% |
2286
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
5738
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3698
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7597
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11108
85.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
5724
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24067
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35363
45.5 IPS |
|
|
Style Transfer (Q)
|
100% |
35484
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5795
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6731
248.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4805
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5072
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5056
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5164
89.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5189
89.7 IPS |
