iPad16,3
Geekbench AI Score
4728
Single Precision Score
7830
Half Precision Score
6308
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 08:12 PM |
| 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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2023
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
3340
621.1 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3316
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3653
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10098
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19133
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16490
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.6 IPS |
|
|
Object Detection (HP)
|
97% |
3698
294.4 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7793
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4501
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8337
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14689
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10213
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25075
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37943
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31433
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5882
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6891
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4845
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5431
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6807
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6788
117.3 IPS |
