iPad16,3
Geekbench AI Score
8827
Single Precision Score
10439
Half Precision Score
8965
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jessy |
| Upload Date | September 09 2024 01:43 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
4536
843.5 IPS |
|
|
Image Classification (HP)
|
100% |
4814
895.2 IPS |
|
|
Image Classification (Q)
|
97% |
3634
678.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4702
76.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6580
106.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6993
113.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27809
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30020
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
27867
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
4687
371.7 IPS |
|
|
Object Detection (HP)
|
100% |
5177
410.6 IPS |
|
|
Object Detection (Q)
|
91% |
4181
334.1 IPS |
|
|
Face Detection (SP)
|
100% |
12518
148.7 IPS |
|
|
Face Detection (HP)
|
100% |
15922
189.2 IPS |
|
|
Face Detection (Q)
|
100% |
11493
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20204
155.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22302
171.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
17978
140.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56939
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67131
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
62983
81.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12138
448.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12665
467.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9894
365.4 IPS |
|
|
Text Classification (SP)
|
100% |
2991
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5269
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5256
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1976
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1964
33.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1675
29.0 IPS |
