iPad (9th generation)
Geekbench AI Score
1670
Single Precision Score
3086
Half Precision Score
2565
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 06:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
798
148.5 IPS |
|
|
Image Classification (HP)
|
100% |
1367
254.2 IPS |
|
|
Image Classification (Q)
|
96% |
979
182.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1362
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3622
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6641
7.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
5890
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (HP)
|
97% |
1577
125.5 IPS |
|
|
Object Detection (Q)
|
94% |
1154
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1802
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3022
23.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5534
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4106
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7572
9.73 IPS |
|
|
Style Transfer (HP)
|
100% |
14575
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12466
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1892
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2612
96.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2068
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2182
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1199
20.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3253
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3270
56.5 IPS |
