iPad (9th generation)
Geekbench AI Score
1686
Single Precision Score
3116
Half Precision Score
2553
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 21 2024 12:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
784
145.9 IPS |
|
|
Image Classification (HP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1440
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3452
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6278
7.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
5597
6.56 IPS |
|
|
Object Detection (SP)
|
100% |
722
57.2 IPS |
|
|
Object Detection (HP)
|
97% |
1590
126.6 IPS |
|
|
Object Detection (Q)
|
94% |
1134
90.4 IPS |
|
|
Face Detection (SP)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1792
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3060
23.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5883
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4244
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7396
9.51 IPS |
|
|
Style Transfer (HP)
|
100% |
13915
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
12077
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2744
101.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2090
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2154
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3194
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3151
54.5 IPS |
