iPad (9th generation)
Geekbench AI Score
928
Single Precision Score
1130
Half Precision Score
504
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
318
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.2 IPS |
|
|
Image Classification (Q)
|
97% |
241
44.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (Q)
|
99% |
341
5.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
2355
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3035
3.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
1430
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
641
50.9 IPS |
|
|
Object Detection (HP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (Q)
|
100% |
358
4.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
2566
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3549
27.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
976
7.62 IPS |
|
|
Style Transfer (SP)
|
100% |
6192
7.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8359
10.7 IPS |
|
|
Style Transfer (Q)
|
96% |
2133
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1123
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
239
319.3 IPS |
|
|
Text Classification (HP)
|
100% |
384
513.1 IPS |
|
|
Text Classification (Q)
|
93% |
375
503.6 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.90 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
98% |
242
4.17 IPS |
