iPad16,3
Geekbench AI Score
4491
Single Precision Score
7725
Half Precision Score
6145
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 03 2024 01:13 PM |
| Views | 18 |
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% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
3346
622.2 IPS |
|
|
Image Classification (Q)
|
96% |
2338
436.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3141
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3522
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9866
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19106
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12151
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
2201
174.6 IPS |
|
|
Object Detection (HP)
|
97% |
3804
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7075
84.1 IPS |
|
|
Face Detection (Q)
|
100% |
4428
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8289
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14532
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10159
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25144
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37846
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31371
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6906
255.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4915
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5333
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5926
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6917
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6974
120.5 IPS |
