iPad (9th generation)
Geekbench AI Score
923
Single Precision Score
1127
Half Precision Score
679
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2024 11:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
311
57.9 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.1 IPS |
|
|
Image Classification (Q)
|
99% |
361
67.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (Q)
|
100% |
336
5.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
2367
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3204
3.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
1193
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2615
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
381
4.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
2507
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3504
27.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
3497
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6165
7.92 IPS |
|
|
Style Transfer (HP)
|
100% |
8571
11.0 IPS |
|
|
Style Transfer (Q)
|
100% |
8564
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
451
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.4 IPS |
|
|
Text Classification (HP)
|
100% |
403
538.5 IPS |
|
|
Text Classification (Q)
|
93% |
405
543.0 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.54 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.97 IPS |
|
|
Machine Translation (Q)
|
98% |
233
4.03 IPS |
