iPad (9th generation)
Geekbench AI Score
916
Single Precision Score
1137
Half Precision Score
504
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 16 2024 10:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
293
54.6 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
345
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3205
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1210
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
3337
39.6 IPS |
|
|
Face Detection (Q)
|
100% |
389
4.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
2516
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3515
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1037
8.09 IPS |
|
|
Style Transfer (SP)
|
100% |
6170
7.93 IPS |
|
|
Style Transfer (HP)
|
100% |
8605
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2103
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1224
45.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1357
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
236
315.0 IPS |
|
|
Text Classification (HP)
|
100% |
408
545.2 IPS |
|
|
Text Classification (Q)
|
93% |
403
540.6 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
233
4.01 IPS |
|
|
Machine Translation (Q)
|
98% |
225
3.88 IPS |
