iPad16,3
Geekbench AI Score
4449
Single Precision Score
6400
Half Precision Score
5264
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | JMW63 |
| Upload Date | August 23 2024 10:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1956
363.8 IPS |
|
|
Image Classification (HP)
|
100% |
2621
487.4 IPS |
|
|
Image Classification (Q)
|
99% |
2628
490.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1771
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9890
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18802
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16033
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2086
165.5 IPS |
|
|
Object Detection (HP)
|
97% |
3061
243.7 IPS |
|
|
Object Detection (Q)
|
94% |
2305
183.7 IPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
5820
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
3733
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7612
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11230
86.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
5766
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24046
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35603
45.8 IPS |
|
|
Style Transfer (Q)
|
100% |
35539
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5813
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6735
248.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4782
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5281
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5001
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5180
89.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5192
89.7 IPS |
