iPad16,3
Geekbench AI Score
4388
Single Precision Score
6300
Half Precision Score
5219
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 08:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1908
354.8 IPS |
|
|
Image Classification (HP)
|
100% |
2594
482.4 IPS |
|
|
Image Classification (Q)
|
99% |
2582
481.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1757
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9743
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18661
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15946
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2067
164.0 IPS |
|
|
Object Detection (HP)
|
97% |
2983
237.5 IPS |
|
|
Object Detection (Q)
|
94% |
2263
180.4 IPS |
|
|
Face Detection (SP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
5620
66.8 IPS |
|
|
Face Detection (Q)
|
100% |
3641
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7535
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11052
85.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
5693
44.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23874
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35149
45.2 IPS |
|
|
Style Transfer (Q)
|
100% |
35146
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5700
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6778
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4779
177.0 IPS |
|
|
Text Classification (SP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5171
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5176
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5086
87.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5089
87.9 IPS |
