iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1017
Single Precision Score
1560
Half Precision Score
1347
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | August 17 2025 07:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,5 |
| Motherboard | J320AP |
| 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 | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (HP)
|
100% |
788
146.5 IPS |
|
|
Image Classification (Q)
|
96% |
630
117.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
599
9.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
922
15.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1008
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2594
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2328
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
2026
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
934
74.1 IPS |
|
|
Object Detection (Q)
|
92% |
751
59.9 IPS |
|
|
Face Detection (SP)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2321
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1477
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1753
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2682
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2236
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5079
6.53 IPS |
|
|
Style Transfer (HP)
|
100% |
7951
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7165
9.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1239
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1515
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1233
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.9 IPS |
|
|
Text Classification (HP)
|
100% |
554
739.7 IPS |
|
|
Text Classification (Q)
|
93% |
553
741.9 IPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1302
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1264
21.8 IPS |
