iPad (9th generation)
Geekbench AI Score
1715
Single Precision Score
3134
Half Precision Score
2524
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 02:56 PM |
| 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% |
1389
258.3 IPS |
|
|
Image Classification (Q)
|
96% |
985
183.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1474
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3623
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6588
7.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
5813
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
732
58.1 IPS |
|
|
Object Detection (HP)
|
97% |
1608
128.0 IPS |
|
|
Object Detection (Q)
|
94% |
1157
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1620
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1844
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3143
24.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5940
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4338
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7731
9.94 IPS |
|
|
Style Transfer (HP)
|
100% |
14098
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
9690
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2054
75.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2663
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2098
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (Q)
|
93% |
2099
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3196
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3153
54.5 IPS |
