iPad (9th generation)
Geekbench AI Score
1704
Single Precision Score
3135
Half Precision Score
2591
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Sparrrxw |
| Upload Date | March 20 2025 07:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
786
146.2 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1465
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3577
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6444
7.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
5756
6.75 IPS |
|
|
Object Detection (SP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (HP)
|
97% |
1616
128.7 IPS |
|
|
Object Detection (Q)
|
94% |
1149
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1845
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3118
24.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5936
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4338
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7510
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
14124
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12207
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1918
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2770
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2100
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2197
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3090
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3172
54.8 IPS |
