iPad16,3
Geekbench AI Score
8847
Single Precision Score
10561
Half Precision Score
7766
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DFW |
| Upload Date | September 02 2024 06:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4460
829.4 IPS |
|
|
Image Classification (HP)
|
100% |
4837
899.5 IPS |
|
|
Image Classification (Q)
|
99% |
4469
833.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4889
79.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6700
108.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6651
107.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28092
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30053
35.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
27615
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
4735
375.6 IPS |
|
|
Object Detection (HP)
|
100% |
5186
411.3 IPS |
|
|
Object Detection (Q)
|
91% |
4206
336.1 IPS |
|
|
Face Detection (SP)
|
100% |
12646
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
16333
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
11572
137.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20304
156.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22414
172.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
3454
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57045
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67802
87.2 IPS |
|
|
Style Transfer (Q)
|
100% |
67318
86.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11598
428.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12721
469.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9710
359.7 IPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5182
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5267
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1681
29.1 IPS |
