iPad16,3
Geekbench AI Score
4407
Single Precision Score
6319
Half Precision Score
5223
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 16 2024 01:42 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1885
350.6 IPS |
|
|
Image Classification (HP)
|
100% |
2590
481.6 IPS |
|
|
Image Classification (Q)
|
99% |
2606
486.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1743
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9776
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18670
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15953
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2073
164.4 IPS |
|
|
Object Detection (HP)
|
97% |
2980
237.2 IPS |
|
|
Object Detection (Q)
|
94% |
2253
179.6 IPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5730
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3667
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7595
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11102
85.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
5727
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23937
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35073
45.1 IPS |
|
|
Style Transfer (Q)
|
100% |
35047
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5731
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6801
251.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4788
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5164
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5136
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3505
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5146
88.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5116
88.4 IPS |
