iPad16,6
Geekbench AI Score
3311
Single Precision Score
18666
Half Precision Score
24266
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 06:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1676
311.8 IPS |
|
|
Image Classification (HP)
|
100% |
8753
1.63 KIPS |
|
|
Image Classification (Q)
|
97% |
10381
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6839
110.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13885
225.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9758
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
106855
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
186348
218.4 IPS |
|
|
Object Detection (SP)
|
100% |
1855
147.1 IPS |
|
|
Object Detection (HP)
|
100% |
11317
897.7 IPS |
|
|
Object Detection (Q)
|
93% |
13966
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16094
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
19486
231.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
64716
498.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
89966
703.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15265
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
158625
203.9 IPS |
|
|
Style Transfer (Q)
|
96% |
172568
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4883
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22608
834.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33684
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
1793
2.39 KIPS |
|
|
Text Classification (HP)
|
71% |
6348
9.13 KIPS |
|
|
Text Classification (Q)
|
69% |
6194
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2250
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2992
51.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2990
51.7 IPS |
