iPad16,6
Geekbench AI Score
8808
Single Precision Score
10493
Half Precision Score
7727
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | aenewton |
| Upload Date | August 24 2024 11:35 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4514
839.5 IPS |
|
|
Image Classification (HP)
|
100% |
4810
894.5 IPS |
|
|
Image Classification (Q)
|
99% |
4481
835.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4765
77.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6639
107.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6601
107.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27972
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30054
35.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
27611
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
4730
375.2 IPS |
|
|
Object Detection (HP)
|
100% |
5192
411.8 IPS |
|
|
Object Detection (Q)
|
91% |
4136
330.5 IPS |
|
|
Face Detection (SP)
|
100% |
12588
149.6 IPS |
|
|
Face Detection (HP)
|
100% |
16256
193.2 IPS |
|
|
Face Detection (Q)
|
100% |
11583
137.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20329
156.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22360
172.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
3453
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57371
73.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67634
86.9 IPS |
|
|
Style Transfer (Q)
|
100% |
67317
86.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11664
430.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12761
471.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9720
360.1 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5122
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5120
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2021
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1678
29.0 IPS |
