iPad (9th generation)
Geekbench AI Score
906
Single Precision Score
1108
Half Precision Score
673
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:36 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% |
282
52.5 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
99% |
350
65.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
100% |
339
5.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3189
3.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
1266
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (HP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2592
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
3354
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
372
4.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
2476
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3480
26.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
3446
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6122
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
8508
10.9 IPS |
|
|
Style Transfer (Q)
|
100% |
8585
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1258
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
450
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.9 IPS |
|
|
Text Classification (HP)
|
100% |
400
534.3 IPS |
|
|
Text Classification (Q)
|
93% |
400
536.4 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (Q)
|
98% |
218
3.78 IPS |
