iPad (9th generation)
Geekbench AI Score
1185
Single Precision Score
3580
Half Precision Score
1441
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | not2586 |
| Upload Date | August 22 2024 02:25 PM |
| 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% |
547
101.7 IPS |
|
|
Image Classification (HP)
|
100% |
2820
524.4 IPS |
|
|
Image Classification (Q)
|
99% |
2792
520.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (Q)
|
100% |
478
7.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
3125
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
29334
34.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
3237
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
2431
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
290
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
1118
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
6957
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
400
4.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
1967
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23739
182.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
23326
180.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5389
6.93 IPS |
|
|
Style Transfer (HP)
|
100% |
10407
13.4 IPS |
|
|
Style Transfer (Q)
|
100% |
10793
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
458
611.9 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.5 IPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1072
18.5 IPS |
