iPad (9th generation)
Geekbench AI Score
918
Single Precision Score
1127
Half Precision Score
505
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 04:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.5 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (Q)
|
99% |
341
5.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
2355
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3117
3.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
1327
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (Q)
|
100% |
376
4.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
2527
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3533
27.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
1004
7.84 IPS |
|
|
Style Transfer (SP)
|
100% |
6140
7.89 IPS |
|
|
Style Transfer (HP)
|
100% |
8568
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2051
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1225
45.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1327
49.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
236
314.9 IPS |
|
|
Text Classification (HP)
|
100% |
410
547.4 IPS |
|
|
Text Classification (Q)
|
93% |
408
547.8 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (HP)
|
100% |
230
3.97 IPS |
|
|
Machine Translation (Q)
|
98% |
228
3.94 IPS |
