iPad16,3
Geekbench AI Score
8808
Single Precision Score
10563
Half Precision Score
9478
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 13 2024 03:05 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
4447
826.9 IPS |
|
|
Image Classification (HP)
|
100% |
4862
904.2 IPS |
|
|
Image Classification (Q)
|
97% |
4128
770.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4902
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6738
109.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7151
115.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28001
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30001
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28536
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4689
371.9 IPS |
|
|
Object Detection (HP)
|
100% |
5204
412.7 IPS |
|
|
Object Detection (Q)
|
91% |
4426
353.7 IPS |
|
|
Face Detection (SP)
|
100% |
12814
152.3 IPS |
|
|
Face Detection (HP)
|
100% |
16465
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
11992
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20488
157.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22357
172.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19256
150.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56921
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66678
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
62620
80.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11482
424.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12570
464.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10223
377.5 IPS |
|
|
Text Classification (SP)
|
100% |
3009
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5276
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5268
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1903
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2015
34.8 IPS |
