iPad16,3
Geekbench AI Score
4729
Single Precision Score
36390
Half Precision Score
51680
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
17024
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
24706
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22055
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30781
499.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10101
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123899
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233481
273.7 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
18500
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26364
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4019
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
43651
518.7 IPS |
|
|
Face Detection (Q)
|
100% |
63815
758.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8300
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98710
760.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
167365
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25134
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231732
297.9 IPS |
|
|
Style Transfer (Q)
|
96% |
296220
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5903
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48660
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84154
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5936
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6063
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3908
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16408
282.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17986
310.8 IPS |
