iPad (9th generation)
Geekbench AI Score
919
Single Precision Score
1116
Half Precision Score
500
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
285
53.0 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (Q)
|
97% |
243
45.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
323
5.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
339
5.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
2342
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3206
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1312
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
100% |
661
52.4 IPS |
|
|
Object Detection (Q)
|
94% |
301
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
2481
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
3354
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
377
4.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
2499
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3427
26.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
1015
7.93 IPS |
|
|
Style Transfer (SP)
|
100% |
6112
7.86 IPS |
|
|
Style Transfer (HP)
|
100% |
8546
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2090
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1183
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
238
318.0 IPS |
|
|
Text Classification (HP)
|
100% |
414
552.2 IPS |
|
|
Text Classification (Q)
|
93% |
412
553.0 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (Q)
|
98% |
200
3.46 IPS |
