iPad (9th generation)
Geekbench AI Score
1187
Single Precision Score
3558
Half Precision Score
733
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 17 2024 11:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
546
101.6 IPS |
|
|
Image Classification (HP)
|
100% |
2663
495.3 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
302
4.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
3229
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
28296
33.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
3439
4.03 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
2382
188.9 IPS |
|
|
Object Detection (Q)
|
94% |
288
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
6924
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
384
4.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1959
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23277
179.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
1039
8.11 IPS |
|
|
Style Transfer (SP)
|
100% |
5263
6.77 IPS |
|
|
Style Transfer (HP)
|
100% |
10804
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4629
5.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4497
166.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
630
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
462
617.3 IPS |
|
|
Text Classification (Q)
|
93% |
461
619.0 IPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1016
17.5 IPS |
