iPad (9th generation)
Geekbench AI Score
914
Single Precision Score
1127
Half Precision Score
507
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 28 2024 10:33 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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
54.3 IPS |
|
|
Image Classification (HP)
|
100% |
360
67.0 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
345
5.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
2372
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3206
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1244
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2584
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
379
4.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
2520
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3516
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1037
8.10 IPS |
|
|
Style Transfer (SP)
|
100% |
6160
7.92 IPS |
|
|
Style Transfer (HP)
|
100% |
8596
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2054
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1384
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.5 IPS |
|
|
Text Classification (HP)
|
100% |
408
545.0 IPS |
|
|
Text Classification (Q)
|
93% |
407
546.4 IPS |
|
|
Machine Translation (SP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (HP)
|
100% |
229
3.94 IPS |
|
|
Machine Translation (Q)
|
98% |
240
4.15 IPS |
