iPad Pro (11-inch)
Geekbench AI Score
1254
Single Precision Score
1555
Half Precision Score
445
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 09:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,3 |
| Motherboard | J318AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
883
164.1 IPS |
|
|
Image Classification (HP)
|
100% |
1266
235.5 IPS |
|
|
Image Classification (Q)
|
96% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
232
3.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
2833
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4030
4.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
1891
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
894
70.9 IPS |
|
|
Object Detection (HP)
|
100% |
1175
93.2 IPS |
|
|
Object Detection (Q)
|
92% |
185
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
3488
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
2906
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4154
32.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
554
4.33 IPS |
|
|
Style Transfer (SP)
|
100% |
7849
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9559
12.3 IPS |
|
|
Style Transfer (Q)
|
96% |
3014
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1834
67.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
211
281.6 IPS |
|
|
Text Classification (HP)
|
100% |
260
347.3 IPS |
|
|
Text Classification (Q)
|
93% |
258
346.5 IPS |
|
|
Machine Translation (SP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (Q)
|
98% |
472
8.15 IPS |
