iPad16,3
Geekbench AI Score
4717
Single Precision Score
7856
Half Precision Score
6305
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 07:43 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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
3332
619.6 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3331
54.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3667
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10077
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19104
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16503
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
97% |
3816
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2712
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
3985
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7798
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4486
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8326
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14655
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10199
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25097
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37996
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31523
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5876
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6871
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4841
178.7 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5396
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5421
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6877
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6876
118.8 IPS |
