iPad (9th generation)
Geekbench AI Score
930
Single Precision Score
1118
Half Precision Score
499
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dr904 |
| Upload Date | July 23 2025 10:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
332
61.7 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.9 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
351
5.68 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2327
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3049
3.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
1215
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
94% |
297
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
2510
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (Q)
|
100% |
375
4.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
2488
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3523
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
986
7.69 IPS |
|
|
Style Transfer (SP)
|
100% |
6108
7.85 IPS |
|
|
Style Transfer (HP)
|
100% |
8226
10.6 IPS |
|
|
Style Transfer (Q)
|
96% |
2095
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1200
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1296
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
237
315.9 IPS |
|
|
Text Classification (HP)
|
100% |
380
507.2 IPS |
|
|
Text Classification (Q)
|
93% |
371
498.2 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (HP)
|
100% |
237
4.09 IPS |
|
|
Machine Translation (Q)
|
98% |
246
4.25 IPS |
