iPad (9th generation)
Geekbench AI Score
907
Single Precision Score
1106
Half Precision Score
491
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 29 2024 12:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
309
57.4 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.6 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
329
5.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
2307
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3081
3.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
1290
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (HP)
|
100% |
601
47.6 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3337
39.6 IPS |
|
|
Face Detection (Q)
|
100% |
343
4.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
2584
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3545
27.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
900
7.03 IPS |
|
|
Style Transfer (SP)
|
100% |
5832
7.50 IPS |
|
|
Style Transfer (HP)
|
100% |
8353
10.7 IPS |
|
|
Style Transfer (Q)
|
96% |
2105
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1220
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
458
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
232
310.3 IPS |
|
|
Text Classification (HP)
|
100% |
407
542.7 IPS |
|
|
Text Classification (Q)
|
93% |
407
546.8 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.57 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (Q)
|
98% |
224
3.86 IPS |
