iPad (9th generation)
Geekbench AI Score
1176
Single Precision Score
3580
Half Precision Score
736
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 12:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
544
101.2 IPS |
|
|
Image Classification (HP)
|
100% |
2741
509.8 IPS |
|
|
Image Classification (Q)
|
97% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
304
4.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
3203
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
29231
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3555
4.17 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
2430
192.7 IPS |
|
|
Object Detection (Q)
|
94% |
290
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
6971
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
382
4.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
1861
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23842
183.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1053
8.22 IPS |
|
|
Style Transfer (SP)
|
100% |
5278
6.79 IPS |
|
|
Style Transfer (HP)
|
100% |
10652
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
4518
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4351
160.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
631
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
460
613.6 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.2 IPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1032
17.8 IPS |
