iPad (9th generation)
Geekbench AI Score
1193
Single Precision Score
3578
Half Precision Score
730
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 19 2024 01:57 PM |
| Views | 2 |
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% |
547
101.8 IPS |
|
|
Image Classification (HP)
|
100% |
2688
499.8 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
310
5.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
3318
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
28337
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3529
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2445
194.0 IPS |
|
|
Object Detection (Q)
|
94% |
266
21.2 IPS |
|
|
Face Detection (SP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
6917
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
361
4.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
1908
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23577
181.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1031
8.05 IPS |
|
|
Style Transfer (SP)
|
100% |
5257
6.76 IPS |
|
|
Style Transfer (HP)
|
100% |
10840
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4655
6.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
636
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.4 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.0 IPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1055
18.2 IPS |
