iPad (9th generation)
Geekbench AI Score
1208
Single Precision Score
3592
Half Precision Score
749
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 17 2024 11:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
548
102.0 IPS |
|
|
Image Classification (HP)
|
100% |
2708
503.7 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
312
5.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
3286
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
29268
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3519
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (Q)
|
94% |
291
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1173
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
6986
83.0 IPS |
|
|
Face Detection (Q)
|
100% |
396
4.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
2029
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23634
182.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1079
8.43 IPS |
|
|
Style Transfer (SP)
|
100% |
5602
7.20 IPS |
|
|
Style Transfer (HP)
|
100% |
10854
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4701
6.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4332
159.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
638
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.0 IPS |
|
|
Text Classification (Q)
|
93% |
459
616.3 IPS |
|
|
Machine Translation (SP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1066
18.4 IPS |
