iPad16,6
Geekbench AI Score
4791
Single Precision Score
7882
Half Precision Score
6865
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | aenewton |
| Upload Date | August 24 2024 11:38 PM |
| Views | 15 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1977
367.7 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.2 IPS |
|
|
Image Classification (Q)
|
99% |
3317
618.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3234
52.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
3256
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10044
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19080
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16314
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
97% |
3798
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
3966
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7738
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4453
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8289
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14609
112.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
14676
113.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25136
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38184
49.1 IPS |
|
|
Style Transfer (Q)
|
100% |
38173
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5856
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6797
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4880
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
6206
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6175
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4062
70.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6514
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6497
112.3 IPS |
