iPad (9th generation)
Geekbench AI Score
1195
Single Precision Score
3584
Half Precision Score
1424
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2024 11:59 AM |
| Views | 3 |
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% |
2718
505.5 IPS |
|
|
Image Classification (Q)
|
99% |
2712
505.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
100% |
494
8.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
3363
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
28381
33.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
3327
3.90 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2408
191.0 IPS |
|
|
Object Detection (Q)
|
94% |
291
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1136
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6963
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
349
4.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
1886
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23481
180.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
23145
178.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5170
6.65 IPS |
|
|
Style Transfer (HP)
|
100% |
10906
14.0 IPS |
|
|
Style Transfer (Q)
|
100% |
10888
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4375
161.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
459
613.0 IPS |
|
|
Text Classification (Q)
|
93% |
460
616.8 IPS |
|
|
Machine Translation (SP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1055
18.2 IPS |
