iPad16,3
Geekbench AI Score
4453
Single Precision Score
6322
Half Precision Score
5377
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1929
358.7 IPS |
|
|
Image Classification (HP)
|
100% |
2569
477.7 IPS |
|
|
Image Classification (Q)
|
96% |
1929
360.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2427
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9918
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18772
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16260
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2088
165.6 IPS |
|
|
Object Detection (HP)
|
97% |
3023
240.7 IPS |
|
|
Object Detection (Q)
|
94% |
2274
181.3 IPS |
|
|
Face Detection (SP)
|
100% |
3608
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
5728
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3685
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7625
58.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
11201
86.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8405
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24057
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35142
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29454
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6830
252.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4900
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5077
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5039
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5168
89.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5183
89.6 IPS |
