iPad (9th generation)
Geekbench AI Score
1139
Single Precision Score
3567
Half Precision Score
1404
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | August 15 2024 09:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
540
100.5 IPS |
|
|
Image Classification (HP)
|
100% |
2854
530.8 IPS |
|
|
Image Classification (Q)
|
99% |
2901
541.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
100% |
492
7.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
3080
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
28966
33.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
3377
3.96 IPS |
|
|
Object Detection (SP)
|
100% |
563
44.7 IPS |
|
|
Object Detection (HP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (Q)
|
94% |
277
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
7015
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
361
4.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
1871
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23098
178.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
22505
174.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5153
6.62 IPS |
|
|
Style Transfer (HP)
|
100% |
10807
13.9 IPS |
|
|
Style Transfer (Q)
|
100% |
10771
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1602
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4479
165.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
603
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
698
931.9 IPS |
|
|
Text Classification (HP)
|
100% |
432
577.2 IPS |
|
|
Text Classification (Q)
|
93% |
436
584.8 IPS |
|
|
Machine Translation (SP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
969
16.7 IPS |
