iPad16,3
Geekbench AI Score
4449
Single Precision Score
6362
Half Precision Score
5412
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 04:38 PM |
| Views | 1 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1967
365.9 IPS |
|
|
Image Classification (HP)
|
100% |
2636
490.2 IPS |
|
|
Image Classification (Q)
|
96% |
1963
366.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2491
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9907
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18734
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16222
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2077
164.7 IPS |
|
|
Object Detection (HP)
|
97% |
3054
243.1 IPS |
|
|
Object Detection (Q)
|
94% |
2299
183.3 IPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5796
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3719
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7602
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
11184
86.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8419
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24036
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35484
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29680
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5792
213.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6768
249.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4839
178.7 IPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5100
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5093
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5194
89.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5162
89.2 IPS |
