iPad (9th generation)
Geekbench AI Score
913
Single Precision Score
1128
Half Precision Score
504
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 10:47 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% |
298
55.4 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.2 IPS |
|
|
Image Classification (Q)
|
97% |
243
45.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2364
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3160
3.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
1223
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (HP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2515
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (Q)
|
100% |
375
4.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
2514
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3508
27.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1018
7.95 IPS |
|
|
Style Transfer (SP)
|
100% |
6131
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
8596
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2068
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1408
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.0 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.6 IPS |
|
|
Text Classification (Q)
|
93% |
403
540.9 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
224
3.86 IPS |
|
|
Machine Translation (Q)
|
98% |
237
4.10 IPS |
