iPad (9th generation)
Geekbench AI Score
922
Single Precision Score
1129
Half Precision Score
504
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 09 2024 11:30 AM |
| Views | 2 |
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% |
317
59.0 IPS |
|
|
Image Classification (HP)
|
100% |
376
70.0 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3206
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1188
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
623
49.5 IPS |
|
|
Object Detection (HP)
|
100% |
668
53.0 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2605
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3378
40.1 IPS |
|
|
Face Detection (Q)
|
100% |
386
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
2515
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3476
26.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1038
8.10 IPS |
|
|
Style Transfer (SP)
|
100% |
6159
7.92 IPS |
|
|
Style Transfer (HP)
|
100% |
8616
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2049
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1321
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
237
317.0 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.4 IPS |
|
|
Text Classification (Q)
|
93% |
404
541.8 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.90 IPS |
|
|
Machine Translation (Q)
|
98% |
237
4.10 IPS |
