iPad (9th generation)
Geekbench AI Score
914
Single Precision Score
1113
Half Precision Score
490
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 21 2024 12:17 AM |
| Views | 6 |
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% |
296
55.0 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.7 IPS |
|
|
Image Classification (Q)
|
97% |
243
45.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.62 IPS |
|
|
Image Segmentation (Q)
|
99% |
333
5.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
2280
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3045
3.55 IPS |
|
|
Pose Estimation (Q)
|
95% |
1199
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
668
53.0 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2525
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3394
40.3 IPS |
|
|
Face Detection (Q)
|
100% |
370
4.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
2518
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3449
26.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
924
7.21 IPS |
|
|
Style Transfer (SP)
|
100% |
6081
7.82 IPS |
|
|
Style Transfer (HP)
|
100% |
8314
10.7 IPS |
|
|
Style Transfer (Q)
|
96% |
2114
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1278
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
237
315.9 IPS |
|
|
Text Classification (HP)
|
100% |
410
547.0 IPS |
|
|
Text Classification (Q)
|
93% |
408
547.1 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (Q)
|
98% |
207
3.58 IPS |
