iPad Pro (11-inch)
Geekbench AI Score
710
Single Precision Score
2541
Half Precision Score
446
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | anbG34 |
| Upload Date | May 19 2025 11:49 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
334
62.2 IPS |
|
|
Image Classification (HP)
|
100% |
2244
417.4 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
2226
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
30194
35.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
1483
1.74 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (Q)
|
94% |
213
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
835
9.92 IPS |
|
|
Face Detection (HP)
|
100% |
6813
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
298
3.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
1061
8.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
24357
187.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
606
4.74 IPS |
|
|
Style Transfer (SP)
|
100% |
3409
4.38 IPS |
|
|
Style Transfer (HP)
|
100% |
3357
4.32 IPS |
|
|
Style Transfer (Q)
|
96% |
2463
3.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3899
144.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
502
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.2 IPS |
|
|
Text Classification (HP)
|
100% |
315
421.0 IPS |
|
|
Text Classification (Q)
|
93% |
306
410.4 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
98% |
378
6.53 IPS |
