iPad Pro (11-inch)
Geekbench AI Score
350
Single Precision Score
575
Half Precision Score
514
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 08:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
185
34.5 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.8 IPS |
|
|
Image Classification (Q)
|
96% |
266
49.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
218
3.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
418
6.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
647
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
645
0.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
626
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
99% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
92% |
240
19.1 IPS |
|
|
Face Detection (SP)
|
100% |
466
5.54 IPS |
|
|
Face Detection (HP)
|
100% |
960
11.4 IPS |
|
|
Face Detection (Q)
|
100% |
772
9.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
502
3.86 IPS |
|
|
Depth Estimation (HP)
|
98% |
878
6.79 IPS |
|
|
Depth Estimation (Q)
|
85% |
787
6.15 IPS |
|
|
Style Transfer (SP)
|
100% |
1202
1.54 IPS |
|
|
Style Transfer (HP)
|
100% |
1991
2.56 IPS |
|
|
Style Transfer (Q)
|
96% |
1741
2.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
377
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
153
203.9 IPS |
|
|
Text Classification (HP)
|
100% |
361
481.5 IPS |
|
|
Text Classification (Q)
|
93% |
344
462.2 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.09 IPS |
|
|
Machine Translation (HP)
|
98% |
571
9.86 IPS |
|
|
Machine Translation (Q)
|
98% |
564
9.76 IPS |
