iPad16,6
Geekbench AI Score
4701
Single Precision Score
7794
Half Precision Score
6275
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wlwillis1971 |
| Upload Date | September 19 2024 09:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
3318
617.0 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3345
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3634
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10024
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19066
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16440
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2212
175.4 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2681
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
3825
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
7592
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4453
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8283
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14613
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10217
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24996
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37944
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31531
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5887
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6801
251.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4813
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5306
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5384
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3939
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6854
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6829
118.0 IPS |
