iPad (9th generation)
Geekbench AI Score
1173
Single Precision Score
3581
Half Precision Score
747
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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
101.7 IPS |
|
|
Image Classification (HP)
|
100% |
2865
532.9 IPS |
|
|
Image Classification (Q)
|
97% |
270
50.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
481
7.79 IPS |
|
|
Image Segmentation (Q)
|
99% |
349
5.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
3207
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
29292
34.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
3405
3.99 IPS |
|
|
Object Detection (SP)
|
100% |
571
45.3 IPS |
|
|
Object Detection (HP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (Q)
|
94% |
289
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
1102
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
6586
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
387
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1894
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23382
180.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1079
8.43 IPS |
|
|
Style Transfer (SP)
|
100% |
5362
6.89 IPS |
|
|
Style Transfer (HP)
|
100% |
10599
13.6 IPS |
|
|
Style Transfer (Q)
|
96% |
4530
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4324
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
631
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
463
617.5 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.5 IPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1071
18.5 IPS |
