iPad (9th generation)
Geekbench AI Score
1637
Single Precision Score
2708
Half Precision Score
2275
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 04 2024 01:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
753
140.0 IPS |
|
|
Image Classification (HP)
|
100% |
1142
212.3 IPS |
|
|
Image Classification (Q)
|
96% |
863
161.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1080
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3657
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6670
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
5873
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (HP)
|
97% |
1311
104.4 IPS |
|
|
Object Detection (Q)
|
94% |
1004
80.1 IPS |
|
|
Face Detection (SP)
|
100% |
1374
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (Q)
|
100% |
1648
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2984
23.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
4897
37.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
3746
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7521
9.67 IPS |
|
|
Style Transfer (HP)
|
100% |
13665
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11776
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2008
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2667
98.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2126
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
1995
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1187
20.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2406
41.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2195
37.9 IPS |
