iPad (9th generation)
Geekbench AI Score
915
Single Precision Score
1117
Half Precision Score
496
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 24 2024 05:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
313
58.2 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (Q)
|
97% |
240
44.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
339
5.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
2367
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3180
3.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
1246
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (HP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (Q)
|
94% |
295
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
2543
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (Q)
|
100% |
374
4.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
2511
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3444
26.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
1011
7.90 IPS |
|
|
Style Transfer (SP)
|
100% |
6127
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
8532
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2049
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
456
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.1 IPS |
|
|
Text Classification (HP)
|
100% |
369
492.3 IPS |
|
|
Text Classification (Q)
|
93% |
366
491.1 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (Q)
|
98% |
234
4.04 IPS |
