iPad (9th generation)
Geekbench AI Score
1669
Single Precision Score
3113
Half Precision Score
2556
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 27 2024 09:24 AM |
| Views | 2 |
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% |
784
145.7 IPS |
|
|
Image Classification (HP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1445
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3521
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6355
7.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
5698
6.68 IPS |
|
|
Object Detection (SP)
|
100% |
732
58.1 IPS |
|
|
Object Detection (HP)
|
97% |
1571
125.0 IPS |
|
|
Object Detection (Q)
|
94% |
1136
90.6 IPS |
|
|
Face Detection (SP)
|
100% |
1424
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1752
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2959
22.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5930
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4212
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7131
9.17 IPS |
|
|
Style Transfer (HP)
|
100% |
13721
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12137
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2679
98.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2098
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2170
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3185
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3168
54.7 IPS |
