iPad (9th generation)
Geekbench AI Score
919
Single Precision Score
1123
Half Precision Score
681
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 11:21 AM |
| Views | 3 |
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% |
302
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.6 IPS |
|
|
Image Classification (Q)
|
99% |
370
69.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (Q)
|
100% |
346
5.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3203
3.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
1210
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
650
51.6 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2562
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (Q)
|
100% |
381
4.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
2515
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3510
27.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
3449
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6157
7.92 IPS |
|
|
Style Transfer (HP)
|
100% |
8575
11.0 IPS |
|
|
Style Transfer (Q)
|
100% |
8578
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
453
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.4 IPS |
|
|
Text Classification (HP)
|
100% |
407
542.9 IPS |
|
|
Text Classification (Q)
|
93% |
408
546.9 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
237
4.09 IPS |
|
|
Machine Translation (Q)
|
98% |
226
3.91 IPS |
