iPad (9th generation)
Geekbench AI Score
908
Single Precision Score
1105
Half Precision Score
498
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2024 10:55 AM |
| Views | 2 |
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% |
295
54.8 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (Q)
|
99% |
338
5.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
2322
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3083
3.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
1275
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
2516
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (Q)
|
100% |
367
4.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
2515
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3430
26.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
997
7.78 IPS |
|
|
Style Transfer (SP)
|
100% |
6075
7.81 IPS |
|
|
Style Transfer (HP)
|
100% |
8388
10.8 IPS |
|
|
Style Transfer (Q)
|
96% |
2073
2.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1247
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
238
317.2 IPS |
|
|
Text Classification (HP)
|
100% |
404
538.6 IPS |
|
|
Text Classification (Q)
|
93% |
404
542.3 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
237
4.09 IPS |
|
|
Machine Translation (Q)
|
98% |
218
3.77 IPS |
