iPad (9th generation)
Geekbench AI Score
1176
Single Precision Score
3545
Half Precision Score
737
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 09 2024 08:44 PM |
| 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% |
545
101.4 IPS |
|
|
Image Classification (HP)
|
100% |
2729
507.5 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
310
5.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
3292
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
29240
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3515
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (Q)
|
94% |
291
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
6919
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
394
4.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
1753
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21957
169.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
1011
7.90 IPS |
|
|
Style Transfer (SP)
|
100% |
5157
6.63 IPS |
|
|
Style Transfer (HP)
|
100% |
10665
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
4562
5.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4315
159.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
620
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
458
611.6 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.4 IPS |
|
|
Machine Translation (SP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1055
18.2 IPS |
