iPad (9th generation)
Geekbench AI Score
1177
Single Precision Score
3564
Half Precision Score
1417
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 25 2024 11:47 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
545
101.4 IPS |
|
|
Image Classification (HP)
|
100% |
2689
500.1 IPS |
|
|
Image Classification (Q)
|
99% |
2701
503.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
100% |
487
7.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
3228
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
28899
33.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
3320
3.89 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (Q)
|
94% |
280
22.3 IPS |
|
|
Face Detection (SP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
7057
83.9 IPS |
|
|
Face Detection (Q)
|
100% |
373
4.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
1869
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23499
181.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
23230
179.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5176
6.65 IPS |
|
|
Style Transfer (HP)
|
100% |
10706
13.8 IPS |
|
|
Style Transfer (Q)
|
100% |
10852
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
619
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.0 IPS |
|
|
Text Classification (Q)
|
93% |
459
616.2 IPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1003
17.3 IPS |
