iPad16,3
Geekbench AI Score
4450
Single Precision Score
6349
Half Precision Score
5264
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DFW |
| Upload Date | September 01 2024 12:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1961
364.7 IPS |
|
|
Image Classification (HP)
|
100% |
2610
485.5 IPS |
|
|
Image Classification (Q)
|
99% |
2605
485.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1773
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9897
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18783
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16040
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2079
164.9 IPS |
|
|
Object Detection (HP)
|
97% |
3037
241.8 IPS |
|
|
Object Detection (Q)
|
94% |
2295
182.9 IPS |
|
|
Face Detection (SP)
|
100% |
3595
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
5772
68.6 IPS |
|
|
Face Detection (Q)
|
100% |
3712
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7608
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11186
86.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
5705
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23987
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35166
45.2 IPS |
|
|
Style Transfer (Q)
|
100% |
35344
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5776
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6785
250.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4793
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
3066
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5056
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5171
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5181
89.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5189
89.7 IPS |
