iPad16,6
Geekbench AI Score
4708
Single Precision Score
7824
Half Precision Score
6773
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | chrismclay |
| Upload Date | August 15 2024 09:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.7 IPS |
|
|
Image Classification (Q)
|
99% |
3297
614.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3323
53.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3303
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10028
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19082
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16290
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.5 IPS |
|
|
Object Detection (HP)
|
97% |
3808
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
3963
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7673
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4412
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8282
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14609
112.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
14753
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25033
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37846
48.7 IPS |
|
|
Style Transfer (Q)
|
100% |
37895
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5828
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6916
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4774
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
3068
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5361
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5355
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3910
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6758
116.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6752
116.7 IPS |
