iPad (9th generation)
Geekbench AI Score
917
Single Precision Score
1128
Half Precision Score
506
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 05:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
295
54.9 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.6 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
345
5.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
2368
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3174
3.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
1279
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (HP)
|
100% |
660
52.4 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2598
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
382
4.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
2508
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3510
27.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1014
7.92 IPS |
|
|
Style Transfer (SP)
|
100% |
6150
7.91 IPS |
|
|
Style Transfer (HP)
|
100% |
8579
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2094
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1210
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
236
314.8 IPS |
|
|
Text Classification (HP)
|
100% |
411
548.2 IPS |
|
|
Text Classification (Q)
|
93% |
409
548.3 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
233
4.00 IPS |
|
|
Machine Translation (Q)
|
98% |
230
3.97 IPS |
