iPad (9th generation)
Geekbench AI Score
1196
Single Precision Score
3576
Half Precision Score
1434
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 16 2024 12:13 PM |
| Views | 2 |
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% |
544
101.2 IPS |
|
|
Image Classification (HP)
|
100% |
2711
504.1 IPS |
|
|
Image Classification (Q)
|
99% |
2684
500.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (Q)
|
100% |
490
7.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
29198
34.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
3446
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
2423
192.2 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
6954
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
386
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1977
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22744
175.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
22509
174.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5426
6.98 IPS |
|
|
Style Transfer (HP)
|
100% |
10796
13.9 IPS |
|
|
Style Transfer (Q)
|
100% |
10826
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4315
159.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
617
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
465
620.6 IPS |
|
|
Text Classification (Q)
|
93% |
459
616.2 IPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1046
18.1 IPS |
