iPad (9th generation)
Geekbench AI Score
916
Single Precision Score
1136
Half Precision Score
505
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 09 2024 08:40 PM |
| 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% |
307
57.2 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3200
3.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
1241
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
612
48.6 IPS |
|
|
Object Detection (HP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2526
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (Q)
|
100% |
389
4.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
2492
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3519
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1030
8.04 IPS |
|
|
Style Transfer (SP)
|
100% |
6167
7.93 IPS |
|
|
Style Transfer (HP)
|
100% |
8575
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2092
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1399
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.3 IPS |
|
|
Text Classification (HP)
|
100% |
406
542.1 IPS |
|
|
Text Classification (Q)
|
93% |
407
546.0 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.57 IPS |
|
|
Machine Translation (HP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (Q)
|
98% |
227
3.92 IPS |
