iPad (9th generation)
Geekbench AI Score
1708
Single Precision Score
3120
Half Precision Score
2738
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2024 11:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
786
146.2 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.4 IPS |
|
|
Image Classification (Q)
|
99% |
1389
259.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1273
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3561
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6466
7.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
5757
6.75 IPS |
|
|
Object Detection (SP)
|
100% |
732
58.1 IPS |
|
|
Object Detection (HP)
|
97% |
1603
127.6 IPS |
|
|
Object Detection (Q)
|
94% |
1156
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1606
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1833
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3130
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5928
45.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
5940
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7598
9.77 IPS |
|
|
Style Transfer (HP)
|
100% |
13888
17.9 IPS |
|
|
Style Transfer (Q)
|
100% |
13272
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2058
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2697
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2079
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2143
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3094
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3135
54.2 IPS |
