iPad16,3
Geekbench AI Score
8765
Single Precision Score
10703
Half Precision Score
9071
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TheCluster |
| Upload Date | September 14 2024 04:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4504
837.7 IPS |
|
|
Image Classification (HP)
|
100% |
4902
911.7 IPS |
|
|
Image Classification (Q)
|
97% |
3673
685.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4954
80.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6751
109.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7038
114.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28208
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30078
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
27996
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
4773
378.6 IPS |
|
|
Object Detection (HP)
|
100% |
5221
414.1 IPS |
|
|
Object Detection (Q)
|
91% |
4169
333.1 IPS |
|
|
Face Detection (SP)
|
100% |
12812
152.2 IPS |
|
|
Face Detection (HP)
|
100% |
16327
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
11644
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20441
157.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22679
174.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
17935
140.2 IPS |
|
|
Style Transfer (SP)
|
100% |
57652
74.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67582
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
63566
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11956
441.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13557
500.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10030
370.4 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5360
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1647
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1683
29.1 IPS |
