iPad (9th generation)
Geekbench AI Score
1688
Single Precision Score
3111
Half Precision Score
2737
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 22 2024 12:27 PM |
| Views | 3 |
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% |
788
146.6 IPS |
|
|
Image Classification (HP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (Q)
|
99% |
1382
257.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1261
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3478
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6335
7.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
5625
6.59 IPS |
|
|
Object Detection (SP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (HP)
|
97% |
1596
127.0 IPS |
|
|
Object Detection (Q)
|
94% |
1125
89.7 IPS |
|
|
Face Detection (SP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3218
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1810
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3012
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5764
44.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
5928
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7285
9.36 IPS |
|
|
Style Transfer (HP)
|
100% |
13724
17.6 IPS |
|
|
Style Transfer (Q)
|
100% |
13735
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2024
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2693
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2080
77.1 IPS |
|
|
Text Classification (SP)
|
100% |
1292
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2177
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3217
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3214
55.5 IPS |
