iPad16,6
Geekbench AI Score
4716
Single Precision Score
7857
Half Precision Score
6829
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 19 2024 08:58 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
3366
626.0 IPS |
|
|
Image Classification (Q)
|
99% |
3369
628.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3369
54.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10044
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19062
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16309
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
3971
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7748
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4480
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8277
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14651
113.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
14741
114.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25055
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37904
48.7 IPS |
|
|
Style Transfer (Q)
|
100% |
37891
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5851
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6798
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4773
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5415
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6796
117.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6842
118.2 IPS |
