iPad16,6
Geekbench AI Score
8920
Single Precision Score
10394
Half Precision Score
7771
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | JESierra |
| Upload Date | August 15 2024 05:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 3.96 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4633
861.6 IPS |
|
|
Image Classification (HP)
|
100% |
4938
918.2 IPS |
|
|
Image Classification (Q)
|
99% |
4499
839.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4909
79.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6826
110.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
6642
107.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28393
33.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30068
35.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
27740
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
4749
376.7 IPS |
|
|
Object Detection (HP)
|
100% |
5221
414.1 IPS |
|
|
Object Detection (Q)
|
91% |
4147
331.4 IPS |
|
|
Face Detection (SP)
|
100% |
12899
153.3 IPS |
|
|
Face Detection (HP)
|
100% |
16369
194.5 IPS |
|
|
Face Detection (Q)
|
100% |
11935
141.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20611
158.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22437
172.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
3458
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57367
73.7 IPS |
|
|
Style Transfer (HP)
|
100% |
68177
87.6 IPS |
|
|
Style Transfer (Q)
|
100% |
67604
86.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11814
436.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12715
469.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9651
357.6 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5189
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5130
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1937
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1692
29.2 IPS |
