iPad (9th generation)
Geekbench AI Score
907
Single Precision Score
1108
Half Precision Score
493
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 05 2024 09:45 AM |
| Views | 2 |
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% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
360
67.0 IPS |
|
|
Image Classification (Q)
|
97% |
239
44.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
333
5.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
2286
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3077
3.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
1304
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
660
52.3 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
94% |
295
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (Q)
|
100% |
368
4.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
2500
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3477
26.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
990
7.73 IPS |
|
|
Style Transfer (SP)
|
100% |
6117
7.86 IPS |
|
|
Style Transfer (HP)
|
100% |
8462
10.9 IPS |
|
|
Style Transfer (Q)
|
96% |
2098
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1293
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
238
317.4 IPS |
|
|
Text Classification (HP)
|
100% |
387
517.1 IPS |
|
|
Text Classification (Q)
|
93% |
385
517.4 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.35 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.83 IPS |
|
|
Machine Translation (Q)
|
98% |
206
3.57 IPS |
