iPad16,3
Geekbench AI Score
4693
Single Precision Score
7828
Half Precision Score
6247
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 07:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1941
360.9 IPS |
|
|
Image Classification (HP)
|
100% |
3326
618.6 IPS |
|
|
Image Classification (Q)
|
96% |
2295
428.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3248
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3569
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9937
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19074
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16451
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.2 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
3924
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7681
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4418
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8288
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14671
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10142
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25095
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37918
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31273
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6913
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4856
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5455
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5378
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6837
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6817
117.8 IPS |
