iPad (9th generation)
Geekbench AI Score
1701
Single Precision Score
3125
Half Precision Score
2752
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 24 2024 10:16 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% |
783
145.6 IPS |
|
|
Image Classification (HP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (Q)
|
99% |
1384
258.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1282
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3572
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6429
7.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
5739
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
97% |
1603
127.6 IPS |
|
|
Object Detection (Q)
|
94% |
1154
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (Q)
|
100% |
1812
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3095
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5926
45.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
5931
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7596
9.77 IPS |
|
|
Style Transfer (HP)
|
100% |
14141
18.2 IPS |
|
|
Style Transfer (Q)
|
100% |
14120
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2695
99.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2078
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2149
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2144
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3197
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3141
54.3 IPS |
