iPad (9th generation)
Geekbench AI Score
907
Single Precision Score
1136
Half Precision Score
503
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 21 2024 12:35 PM |
| Views | 2 |
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% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.60 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2330
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3104
3.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
1255
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
661
52.4 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2552
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
3361
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
373
4.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
2471
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3452
26.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1005
7.85 IPS |
|
|
Style Transfer (SP)
|
100% |
6150
7.91 IPS |
|
|
Style Transfer (HP)
|
100% |
8575
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2102
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1171
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1478
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
232
310.1 IPS |
|
|
Text Classification (HP)
|
100% |
407
543.6 IPS |
|
|
Text Classification (Q)
|
93% |
403
540.5 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
98% |
231
4.00 IPS |
