iPad (9th generation)
Geekbench AI Score
920
Single Precision Score
1135
Half Precision Score
503
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 27 2024 09:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.8 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
99% |
341
5.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
2356
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3156
3.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
1242
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2527
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3345
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
373
4.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
2509
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3457
26.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1018
7.94 IPS |
|
|
Style Transfer (SP)
|
100% |
6132
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
8542
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2089
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1230
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.9 IPS |
|
|
Text Classification (HP)
|
100% |
407
543.0 IPS |
|
|
Text Classification (Q)
|
93% |
406
545.5 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.57 IPS |
|
|
Machine Translation (HP)
|
100% |
233
4.01 IPS |
|
|
Machine Translation (Q)
|
98% |
230
3.98 IPS |
