iPad (9th generation)
Geekbench AI Score
1655
Single Precision Score
3039
Half Precision Score
2470
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2024 11:29 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
767
142.6 IPS |
|
|
Image Classification (HP)
|
100% |
1337
248.7 IPS |
|
|
Image Classification (Q)
|
96% |
963
179.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1425
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3521
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6417
7.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
5741
6.73 IPS |
|
|
Object Detection (SP)
|
100% |
704
55.8 IPS |
|
|
Object Detection (HP)
|
97% |
1572
125.1 IPS |
|
|
Object Detection (Q)
|
94% |
1143
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
3076
36.6 IPS |
|
|
Face Detection (Q)
|
100% |
1774
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3079
23.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5861
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4271
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7494
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
13828
17.8 IPS |
|
|
Style Transfer (Q)
|
96% |
9998
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1981
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2625
96.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2063
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1288
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (Q)
|
93% |
2132
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2911
50.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2820
48.7 IPS |
