iPad16,5
Geekbench AI Score
4695
Single Precision Score
7855
Half Precision Score
6263
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 07:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
1973
367.0 IPS |
|
|
Image Classification (HP)
|
100% |
3351
623.2 IPS |
|
|
Image Classification (Q)
|
96% |
2300
429.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3266
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3576
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10053
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19066
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16451
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.2 IPS |
|
|
Object Detection (HP)
|
97% |
3816
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
3944
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7640
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
4404
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8285
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14647
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10150
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25055
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37920
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31235
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6882
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4868
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3946
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6930
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6820
117.9 IPS |
