iPad (9th generation)
Geekbench AI Score
1646
Single Precision Score
3134
Half Precision Score
2573
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Zztony |
| Upload Date | September 23 2024 09:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
783
145.5 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1456
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3519
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6411
7.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
5736
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (HP)
|
97% |
1600
127.4 IPS |
|
|
Object Detection (Q)
|
94% |
1154
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3219
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1810
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2356
18.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5766
44.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4122
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6869
8.83 IPS |
|
|
Style Transfer (HP)
|
100% |
14054
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12097
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2706
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2099
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2228
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2217
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3221
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3186
55.1 IPS |
