iPad (9th generation)
Geekbench AI Score
921
Single Precision Score
1130
Half Precision Score
504
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 15 2024 02:10 PM |
| Views | 9 |
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% |
304
56.5 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.0 IPS |
|
|
Image Classification (Q)
|
97% |
243
45.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (Q)
|
99% |
342
5.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
2355
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3157
3.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
1223
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
665
52.8 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
375
4.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
2526
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3519
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1019
7.95 IPS |
|
|
Style Transfer (SP)
|
100% |
6124
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
8599
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2106
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1235
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1338
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.5 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.8 IPS |
|
|
Text Classification (Q)
|
93% |
403
541.5 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (Q)
|
98% |
233
4.02 IPS |
