iPad (9th generation)
Geekbench AI Score
1203
Single Precision Score
3579
Half Precision Score
738
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
551
102.5 IPS |
|
|
Image Classification (HP)
|
100% |
2785
517.9 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
312
5.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
3363
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
28547
33.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3532
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2508
198.9 IPS |
|
|
Object Detection (Q)
|
94% |
294
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7246
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
393
4.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
2015
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21599
166.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
937
7.32 IPS |
|
|
Style Transfer (SP)
|
100% |
5061
6.51 IPS |
|
|
Style Transfer (HP)
|
100% |
10514
13.5 IPS |
|
|
Style Transfer (Q)
|
96% |
4546
5.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1749
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4332
160.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
641
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
467
623.0 IPS |
|
|
Text Classification (Q)
|
93% |
464
622.9 IPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1080
18.7 IPS |
