iPad (9th generation)
Geekbench AI Score
1689
Single Precision Score
3112
Half Precision Score
2561
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 29 2024 12:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
780
145.0 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1452
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3462
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
6315
7.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
5594
6.56 IPS |
|
|
Object Detection (SP)
|
100% |
729
57.8 IPS |
|
|
Object Detection (HP)
|
97% |
1587
126.3 IPS |
|
|
Object Detection (Q)
|
94% |
1156
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1594
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (Q)
|
100% |
1806
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3076
23.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5913
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4281
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7456
9.58 IPS |
|
|
Style Transfer (HP)
|
100% |
13957
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
12145
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1927
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2746
101.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2104
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1305
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2160
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3106
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3076
53.2 IPS |
