iPad16,5
Geekbench AI Score
4709
Single Precision Score
7826
Half Precision Score
6793
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pythagoras |
| Upload Date | August 27 2024 08:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
3366
625.9 IPS |
|
|
Image Classification (Q)
|
99% |
3372
628.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3376
54.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10032
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19053
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16281
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.5 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7695
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4442
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8280
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14649
113.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
14708
113.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25072
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37797
48.6 IPS |
|
|
Style Transfer (Q)
|
100% |
37849
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5828
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6841
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4766
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5293
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5263
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3883
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6760
116.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6785
117.3 IPS |
