iPad (9th generation)
Geekbench AI Score
915
Single Precision Score
1123
Half Precision Score
500
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | HippoPCBuilder |
| Upload Date | September 17 2024 08:28 PM |
| Views | 2 |
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% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3179
3.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
1206
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
2518
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
382
4.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
2507
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3546
27.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
1017
7.94 IPS |
|
|
Style Transfer (SP)
|
100% |
6106
7.85 IPS |
|
|
Style Transfer (HP)
|
100% |
8583
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2098
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1212
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
236
314.6 IPS |
|
|
Text Classification (HP)
|
100% |
372
496.7 IPS |
|
|
Text Classification (Q)
|
93% |
373
500.4 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (Q)
|
98% |
240
4.14 IPS |
