iPad16,4
Geekbench AI Score
4713
Single Precision Score
7830
Half Precision Score
6267
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 01:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
3343
621.6 IPS |
|
|
Image Classification (Q)
|
96% |
2340
437.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3340
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3654
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10051
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19104
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16488
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2214
175.6 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7767
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4461
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8300
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14672
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10172
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25134
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38121
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31474
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5870
216.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6904
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4835
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5238
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5196
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6885
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6854
118.4 IPS |
