iPad (9th generation)
Geekbench AI Score
1600
Single Precision Score
2710
Half Precision Score
2315
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | XweAponX |
| Upload Date | September 07 2024 11:26 PM |
| Views | 8 |
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% |
752
139.9 IPS |
|
|
Image Classification (HP)
|
100% |
1148
213.5 IPS |
|
|
Image Classification (Q)
|
96% |
865
161.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
700
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1066
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3480
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6404
7.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
5633
6.60 IPS |
|
|
Object Detection (SP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (HP)
|
97% |
1295
103.1 IPS |
|
|
Object Detection (Q)
|
94% |
991
79.0 IPS |
|
|
Face Detection (SP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
2598
30.9 IPS |
|
|
Face Detection (Q)
|
100% |
1595
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2841
21.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
4851
37.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
3649
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7161
9.21 IPS |
|
|
Style Transfer (HP)
|
100% |
13723
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11600
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2810
103.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2139
79.0 IPS |
|
|
Text Classification (SP)
|
100% |
1425
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2420
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2467
42.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2468
42.7 IPS |
