iPad16,6
Geekbench AI Score
4738
Single Precision Score
7855
Half Precision Score
6313
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 08:10 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2025
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
3342
621.5 IPS |
|
|
Image Classification (Q)
|
96% |
2336
436.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3341
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3689
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10070
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19051
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16464
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4027
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7766
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4508
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8303
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14726
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10229
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25103
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37922
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31559
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6777
250.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4826
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6867
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6817
117.8 IPS |
