iPad16,5
Geekbench AI Score
8732
Single Precision Score
10647
Half Precision Score
7813
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | August 24 2024 05:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4534
843.3 IPS |
|
|
Image Classification (HP)
|
100% |
4873
906.3 IPS |
|
|
Image Classification (Q)
|
99% |
4484
836.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4949
80.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6731
109.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
6665
108.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28197
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30040
35.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
27617
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
4754
377.1 IPS |
|
|
Object Detection (HP)
|
100% |
5196
412.2 IPS |
|
|
Object Detection (Q)
|
91% |
4128
329.9 IPS |
|
|
Face Detection (SP)
|
100% |
12879
153.0 IPS |
|
|
Face Detection (HP)
|
100% |
16329
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
11644
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20775
160.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22798
175.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
3464
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57097
73.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67746
87.1 IPS |
|
|
Style Transfer (Q)
|
100% |
67347
86.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11658
430.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12686
468.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9726
360.3 IPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5459
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5594
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2095
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1685
29.1 IPS |
