iPad (9th generation)
Geekbench AI Score
915
Single Precision Score
1132
Half Precision Score
679
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 16 2024 12:09 PM |
| 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% |
299
55.6 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
99% |
359
67.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (Q)
|
100% |
344
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3194
3.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
1200
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (HP)
|
100% |
670
53.2 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3339
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
374
4.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
2519
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3497
26.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
3448
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6133
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
8583
11.0 IPS |
|
|
Style Transfer (Q)
|
100% |
8579
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1220
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
454
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.5 IPS |
|
|
Text Classification (HP)
|
100% |
407
543.2 IPS |
|
|
Text Classification (Q)
|
93% |
404
542.6 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (Q)
|
98% |
235
4.06 IPS |
