iPad16,3
Geekbench AI Score
4736
Single Precision Score
7926
Half Precision Score
6344
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 02:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1988
369.8 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.7 IPS |
|
|
Image Classification (Q)
|
96% |
2350
438.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3389
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3655
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10089
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19093
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16486
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.4 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
3992
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7747
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4460
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8326
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14729
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10191
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25200
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38272
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31550
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5892
217.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6935
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4906
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5615
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5683
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6946
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6914
119.5 IPS |
