iPad (9th generation)
Geekbench AI Score
916
Single Precision Score
1107
Half Precision Score
505
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 04 2024 01:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
292
54.2 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
332
5.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2367
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3203
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1254
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
383
4.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
2509
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3509
27.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1036
8.09 IPS |
|
|
Style Transfer (SP)
|
100% |
6164
7.92 IPS |
|
|
Style Transfer (HP)
|
100% |
8594
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2127
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1228
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1334
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
231
307.9 IPS |
|
|
Text Classification (HP)
|
100% |
374
499.0 IPS |
|
|
Text Classification (Q)
|
93% |
370
497.2 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.16 IPS |
|
|
Machine Translation (Q)
|
98% |
242
4.18 IPS |
