iPad16,3
Geekbench AI Score
4715
Single Precision Score
7845
Half Precision Score
6277
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 04:11 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% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
3337
620.6 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3319
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3595
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10053
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19107
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16477
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2211
175.4 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7721
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4444
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8324
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14687
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10164
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25133
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37991
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31305
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6906
255.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4859
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5329
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3916
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6894
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6799
117.5 IPS |
