iPad16,5
Geekbench AI Score
4735
Single Precision Score
7863
Half Precision Score
6313
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 07:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
3316
616.6 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3291
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3673
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10069
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19118
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16477
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.8 IPS |
|
|
Object Detection (HP)
|
97% |
3797
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
3985
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7748
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4482
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8313
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14661
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10179
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25112
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38074
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31484
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6861
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4843
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5614
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5567
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6848
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6815
117.8 IPS |
