iPad16,5
Geekbench AI Score
8811
Single Precision Score
10564
Half Precision Score
9294
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MK500 |
| Upload Date | December 01 2024 11:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4436
825.0 IPS |
|
|
Image Classification (HP)
|
100% |
4797
892.1 IPS |
|
|
Image Classification (Q)
|
97% |
4103
765.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4870
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6706
108.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7154
116.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28123
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30022
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28724
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
4759
377.5 IPS |
|
|
Object Detection (HP)
|
100% |
5178
410.7 IPS |
|
|
Object Detection (Q)
|
91% |
4427
353.8 IPS |
|
|
Face Detection (SP)
|
100% |
12702
150.9 IPS |
|
|
Face Detection (HP)
|
100% |
16332
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
11928
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20394
157.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22232
171.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
19005
148.6 IPS |
|
|
Style Transfer (SP)
|
100% |
57161
73.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67837
87.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63855
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11666
430.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12629
466.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10276
379.4 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5318
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5348
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1897
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2093
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1620
28.0 IPS |
