iPad (9th generation)
Geekbench AI Score
1142
Single Precision Score
3551
Half Precision Score
741
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 11:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
553
102.8 IPS |
|
|
Image Classification (HP)
|
100% |
2691
500.5 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
495
8.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
313
5.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
3316
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
29388
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3571
4.18 IPS |
|
|
Object Detection (SP)
|
100% |
579
46.0 IPS |
|
|
Object Detection (HP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (Q)
|
94% |
294
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6990
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
392
4.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
1288
9.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
21686
167.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1013
7.91 IPS |
|
|
Style Transfer (SP)
|
100% |
5138
6.61 IPS |
|
|
Style Transfer (HP)
|
100% |
10621
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
4632
5.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4318
159.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
638
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
459
613.0 IPS |
|
|
Text Classification (Q)
|
93% |
457
613.5 IPS |
|
|
Machine Translation (SP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
