iPad16,3
Geekbench AI Score
8197
Single Precision Score
9370
Half Precision Score
8269
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | roobarb! |
| Upload Date | August 29 2024 07:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4556
847.3 IPS |
|
|
Image Classification (HP)
|
100% |
4894
910.2 IPS |
|
|
Image Classification (Q)
|
99% |
4427
825.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4927
79.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6611
107.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
6516
105.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28493
33.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30294
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
27895
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
4698
372.6 IPS |
|
|
Object Detection (HP)
|
100% |
5074
402.5 IPS |
|
|
Object Detection (Q)
|
92% |
4027
321.4 IPS |
|
|
Face Detection (SP)
|
100% |
12377
147.1 IPS |
|
|
Face Detection (HP)
|
100% |
15763
187.3 IPS |
|
|
Face Detection (Q)
|
100% |
11268
133.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20413
157.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22644
174.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
22861
176.8 IPS |
|
|
Style Transfer (SP)
|
100% |
56055
72.1 IPS |
|
|
Style Transfer (HP)
|
100% |
68160
87.6 IPS |
|
|
Style Transfer (Q)
|
100% |
67746
87.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11695
431.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12828
473.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10178
377.1 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1870
2.50 KIPS |
|
|
Text Classification (Q)
|
93% |
1347
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1617
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1928
33.3 IPS |
