iPad (9th generation)
Geekbench AI Score
901
Single Precision Score
1127
Half Precision Score
492
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | LavarierX |
| Upload Date | November 12 2024 12:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
294
54.7 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.6 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (Q)
|
99% |
333
5.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
2234
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2921
3.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
1202
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (HP)
|
100% |
704
55.9 IPS |
|
|
Object Detection (Q)
|
94% |
294
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3362
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
358
4.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
2485
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3460
26.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
952
7.43 IPS |
|
|
Style Transfer (SP)
|
100% |
6022
7.74 IPS |
|
|
Style Transfer (HP)
|
100% |
8358
10.7 IPS |
|
|
Style Transfer (Q)
|
96% |
2073
2.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1222
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1374
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
233
311.4 IPS |
|
|
Text Classification (HP)
|
100% |
409
545.8 IPS |
|
|
Text Classification (Q)
|
93% |
406
545.1 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
98% |
225
3.88 IPS |
