iPad (9th generation)
Geekbench AI Score
905
Single Precision Score
1104
Half Precision Score
667
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | August 15 2024 09:52 PM |
| Views | 9 |
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% |
314
58.3 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.8 IPS |
|
|
Image Classification (Q)
|
99% |
401
74.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.47 IPS |
|
|
Image Segmentation (Q)
|
100% |
341
5.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
1883
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2573
3.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
1252
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
94% |
269
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
2604
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3505
41.7 IPS |
|
|
Face Detection (Q)
|
100% |
353
4.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
2465
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3389
26.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
3398
26.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5955
7.65 IPS |
|
|
Style Transfer (HP)
|
100% |
7936
10.2 IPS |
|
|
Style Transfer (Q)
|
100% |
7588
9.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1274
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
452
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.1 IPS |
|
|
Text Classification (HP)
|
100% |
382
510.4 IPS |
|
|
Text Classification (Q)
|
93% |
374
501.7 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (Q)
|
98% |
246
4.25 IPS |
