iPad16,5
Geekbench AI Score
8834
Single Precision Score
10595
Half Precision Score
9044
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
4525
841.5 IPS |
|
|
Image Classification (HP)
|
100% |
4796
892.0 IPS |
|
|
Image Classification (Q)
|
97% |
3653
681.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4686
76.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6636
107.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7028
113.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28124
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30066
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
27939
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
4751
376.8 IPS |
|
|
Object Detection (HP)
|
100% |
5209
413.2 IPS |
|
|
Object Detection (Q)
|
91% |
4132
330.2 IPS |
|
|
Face Detection (SP)
|
100% |
12622
150.0 IPS |
|
|
Face Detection (HP)
|
100% |
16128
191.6 IPS |
|
|
Face Detection (Q)
|
100% |
11615
138.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20383
157.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22322
172.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
17890
139.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57338
73.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67362
86.6 IPS |
|
|
Style Transfer (Q)
|
96% |
63405
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11885
438.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12753
470.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10012
369.7 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5638
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5575
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2052
35.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1681
29.0 IPS |
