iPad16,5
Geekbench AI Score
4718
Single Precision Score
7856
Half Precision Score
6273
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | John_ApplePark |
| Upload Date | November 10 2024 04:02 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2002
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
3348
622.6 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3291
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3640
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10049
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19093
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16472
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7742
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4468
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14615
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10207
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25081
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37916
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31300
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6853
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4826
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5637
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5383
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3932
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6777
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6766
116.9 IPS |
