iPad (9th generation)
Geekbench AI Score
1207
Single Precision Score
3616
Half Precision Score
755
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 15 2025 01:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
554
103.0 IPS |
|
|
Image Classification (HP)
|
100% |
2753
512.0 IPS |
|
|
Image Classification (Q)
|
97% |
279
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
313
5.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
3342
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
29254
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3651
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (HP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (Q)
|
94% |
297
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
1150
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
7226
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
397
4.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
1991
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23474
180.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1091
8.53 IPS |
|
|
Style Transfer (SP)
|
100% |
5496
7.07 IPS |
|
|
Style Transfer (HP)
|
100% |
10909
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4785
6.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4416
163.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
641
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.2 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.2 IPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1051
18.2 IPS |
