iPad16,3
Geekbench AI Score
4716
Single Precision Score
35303
Half Precision Score
49482
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 01:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2009
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
17101
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
24687
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16405
265.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20682
335.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10077
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123602
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231269
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
18390
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25768
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3968
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
41571
494.0 IPS |
|
|
Face Detection (Q)
|
100% |
60484
718.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8321
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99256
764.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169499
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25104
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232382
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296075
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5886
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49009
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87628
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6101
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6027
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16447
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18044
311.8 IPS |
