iPad (9th generation)
Geekbench AI Score
1704
Single Precision Score
3146
Half Precision Score
2591
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2024 12:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
775
144.1 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1468
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3570
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6491
7.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
5791
6.79 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
97% |
1599
127.3 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1804
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3129
24.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5915
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4339
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7642
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
14249
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12247
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2006
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2770
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2113
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1306
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2188
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3196
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3170
54.8 IPS |
