iPad (9th generation)
Geekbench AI Score
1713
Single Precision Score
3134
Half Precision Score
2755
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 11:15 AM |
| Views | 4 |
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% |
789
146.7 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (Q)
|
99% |
1388
258.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1256
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3547
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6420
7.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
5686
6.66 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (HP)
|
97% |
1604
127.7 IPS |
|
|
Object Detection (Q)
|
94% |
1153
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1827
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3139
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5932
45.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
5951
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7590
9.76 IPS |
|
|
Style Transfer (HP)
|
100% |
14089
18.1 IPS |
|
|
Style Transfer (Q)
|
100% |
14135
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1987
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2708
100.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2080
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2150
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3195
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3216
55.6 IPS |
