iPad (9th generation)
Geekbench AI Score
1659
Single Precision Score
3113
Half Precision Score
2429
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 04:00 AM |
| Views | 1 |
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% |
785
146.0 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1459
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3501
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
6350
7.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
5661
6.64 IPS |
|
|
Object Detection (SP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (HP)
|
97% |
1600
127.4 IPS |
|
|
Object Detection (Q)
|
94% |
1154
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1047
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2688
20.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5795
44.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4175
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6952
8.94 IPS |
|
|
Style Transfer (HP)
|
100% |
13506
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
11980
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2060
76.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2698
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2100
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2185
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3194
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3174
54.8 IPS |
