iPad16,3
Geekbench AI Score
4724
Single Precision Score
7869
Half Precision Score
6346
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | kdw4gb |
| Upload Date | November 22 2024 06:42 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3332
619.7 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3248
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3709
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10085
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19111
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16509
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2236
177.3 IPS |
|
|
Object Detection (HP)
|
97% |
3768
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2727
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
4026
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7840
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
4535
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8319
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14686
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10259
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25236
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38387
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31810
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5885
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6846
252.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4832
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5474
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6932
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6918
119.6 IPS |
