iPad16,3
Geekbench AI Score
8719
Single Precision Score
10519
Half Precision Score
9327
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 08:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4448
827.3 IPS |
|
|
Image Classification (HP)
|
100% |
4795
891.6 IPS |
|
|
Image Classification (Q)
|
97% |
4123
769.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4882
79.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6716
108.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7128
115.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
28292
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30083
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28561
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4749
376.7 IPS |
|
|
Object Detection (HP)
|
100% |
5205
412.9 IPS |
|
|
Object Detection (Q)
|
91% |
4439
354.7 IPS |
|
|
Face Detection (SP)
|
100% |
12874
153.0 IPS |
|
|
Face Detection (HP)
|
100% |
16345
194.2 IPS |
|
|
Face Detection (Q)
|
100% |
11975
142.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20339
156.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22163
170.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
18730
146.4 IPS |
|
|
Style Transfer (SP)
|
100% |
56150
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67517
86.8 IPS |
|
|
Style Transfer (Q)
|
96% |
63914
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12053
445.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12632
466.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10224
377.5 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5267
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2023
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1657
28.6 IPS |
