iPad (9th generation)
Geekbench AI Score
1693
Single Precision Score
3113
Half Precision Score
2736
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:30 AM |
| 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% |
776
144.2 IPS |
|
|
Image Classification (HP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (Q)
|
99% |
1373
256.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
799
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1270
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3515
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
6420
7.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
5611
6.57 IPS |
|
|
Object Detection (SP)
|
100% |
723
57.4 IPS |
|
|
Object Detection (HP)
|
97% |
1585
126.2 IPS |
|
|
Object Detection (Q)
|
94% |
1144
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
1606
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1825
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3074
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5868
45.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
5917
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7577
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
14108
18.1 IPS |
|
|
Style Transfer (Q)
|
100% |
14143
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1971
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2741
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2083
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2124
2.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2119
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3129
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3122
54.0 IPS |
