iPad16,3
Geekbench AI Score
4574
Single Precision Score
7532
Half Precision Score
6009
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 06:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1982
368.6 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.8 IPS |
|
|
Image Classification (Q)
|
96% |
2285
426.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3259
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3028
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8432
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
19051
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16463
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2059
163.3 IPS |
|
|
Object Detection (HP)
|
97% |
3412
271.7 IPS |
|
|
Object Detection (Q)
|
94% |
2308
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
3919
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
6156
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
4194
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8197
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14061
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10079
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25026
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37851
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31247
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5848
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6885
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4855
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
2993
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5353
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5339
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3922
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6831
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6827
118.0 IPS |
