iPad (9th generation)
Geekbench AI Score
1132
Single Precision Score
3431
Half Precision Score
715
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 30 2024 11:25 AM |
| Views | 3 |
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% |
520
96.7 IPS |
|
|
Image Classification (HP)
|
100% |
2552
474.6 IPS |
|
|
Image Classification (Q)
|
97% |
273
50.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
298
4.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
3053
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
29031
33.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
3336
3.91 IPS |
|
|
Object Detection (SP)
|
100% |
552
43.8 IPS |
|
|
Object Detection (HP)
|
100% |
2236
177.3 IPS |
|
|
Object Detection (Q)
|
94% |
283
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
6761
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
370
4.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
1865
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23520
181.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
1029
8.04 IPS |
|
|
Style Transfer (SP)
|
100% |
5319
6.84 IPS |
|
|
Style Transfer (HP)
|
100% |
10483
13.5 IPS |
|
|
Style Transfer (Q)
|
96% |
4563
5.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4056
149.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
611
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
744
993.5 IPS |
|
|
Text Classification (HP)
|
100% |
449
598.7 IPS |
|
|
Text Classification (Q)
|
93% |
446
598.1 IPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
969
16.7 IPS |
