iPad16,5
Geekbench AI Score
4705
Single Precision Score
7885
Half Precision Score
6301
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | amadeus_ha |
| Upload Date | November 08 2024 11:35 PM |
| Views | 15 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1966
365.7 IPS |
|
|
Image Classification (HP)
|
100% |
3283
610.6 IPS |
|
|
Image Classification (Q)
|
96% |
2333
435.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3311
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3616
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10006
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19132
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16493
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.2 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
3958
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7703
91.5 IPS |
|
|
Face Detection (Q)
|
100% |
4447
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14601
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10138
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25225
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38480
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31603
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6959
257.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4887
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3089
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5600
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5535
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3859
66.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6952
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6848
118.3 IPS |
