iPad16,3
Geekbench AI Score
4449
Single Precision Score
6384
Half Precision Score
5245
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sfoskett |
| Upload Date | August 15 2024 07:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1946
361.8 IPS |
|
|
Image Classification (HP)
|
100% |
2641
491.2 IPS |
|
|
Image Classification (Q)
|
99% |
2598
484.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1754
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9813
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18758
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16031
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2085
165.4 IPS |
|
|
Object Detection (HP)
|
97% |
3009
239.5 IPS |
|
|
Object Detection (Q)
|
94% |
2276
181.4 IPS |
|
|
Face Detection (SP)
|
100% |
3613
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
5764
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
3694
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7598
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11181
86.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
5736
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23972
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35223
45.3 IPS |
|
|
Style Transfer (Q)
|
100% |
35169
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5792
213.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6944
256.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4792
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5235
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5147
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5164
89.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5157
89.1 IPS |
