iPad (9th generation)
Geekbench AI Score
1181
Single Precision Score
3664
Half Precision Score
1448
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bxckam1422 |
| Upload Date | August 22 2024 06:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
550
102.2 IPS |
|
|
Image Classification (HP)
|
100% |
2909
541.0 IPS |
|
|
Image Classification (Q)
|
99% |
2781
518.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.08 IPS |
|
|
Image Segmentation (Q)
|
100% |
502
8.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
3330
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
28960
33.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
3229
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (HP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
7065
83.9 IPS |
|
|
Face Detection (Q)
|
100% |
412
4.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
2009
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24774
190.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
22545
174.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5669
7.29 IPS |
|
|
Style Transfer (HP)
|
100% |
11502
14.8 IPS |
|
|
Style Transfer (Q)
|
100% |
11546
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4550
168.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
655
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
705
940.4 IPS |
|
|
Text Classification (HP)
|
100% |
446
595.4 IPS |
|
|
Text Classification (Q)
|
93% |
441
591.8 IPS |
|
|
Machine Translation (SP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
995
17.2 IPS |
