iPad16,5
Geekbench AI Score
4724
Single Precision Score
7828
Half Precision Score
6286
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 12:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.1 IPS |
|
|
Image Classification (Q)
|
96% |
2336
436.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3340
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3647
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10054
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19048
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16429
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2242
177.9 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7759
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4489
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8292
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14679
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10221
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25073
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37881
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31444
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5815
214.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6751
249.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4848
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5463
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5427
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3913
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6742
116.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6728
116.3 IPS |
