iPad (9th generation)
Geekbench AI Score
910
Single Precision Score
1102
Half Precision Score
494
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 30 2024 11:20 AM |
| Views | 8 |
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% |
289
53.7 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
97% |
239
44.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
335
5.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
2360
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3165
3.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
1271
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
369
4.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
2498
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3479
26.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1011
7.89 IPS |
|
|
Style Transfer (SP)
|
100% |
6100
7.84 IPS |
|
|
Style Transfer (HP)
|
100% |
8538
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2114
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
454
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
233
310.5 IPS |
|
|
Text Classification (HP)
|
100% |
363
485.1 IPS |
|
|
Text Classification (Q)
|
93% |
363
487.5 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (Q)
|
98% |
227
3.93 IPS |
