iPad (9th generation)
Geekbench AI Score
1621
Single Precision Score
2700
Half Precision Score
2323
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | HippoPCBuilder |
| Upload Date | September 17 2024 08:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad (9th generation) |
| Model ID | iPad12,1 |
| Motherboard | J181AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
757
140.7 IPS |
|
|
Image Classification (HP)
|
100% |
1149
213.6 IPS |
|
|
Image Classification (Q)
|
96% |
867
161.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1073
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3568
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6561
7.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
5770
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
679
53.9 IPS |
|
|
Object Detection (HP)
|
97% |
1292
102.8 IPS |
|
|
Object Detection (Q)
|
94% |
999
79.6 IPS |
|
|
Face Detection (SP)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (Q)
|
100% |
1629
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2918
22.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
4876
37.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
3717
29.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7419
9.54 IPS |
|
|
Style Transfer (HP)
|
100% |
13618
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11721
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1986
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2681
99.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2113
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1420
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2376
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2421
41.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2405
41.6 IPS |
