iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1063
Single Precision Score
1643
Half Precision Score
1417
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 04 2026 06:17 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,7 |
| Motherboard | J321AP |
| 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% |
494
91.9 IPS |
|
|
Image Classification (HP)
|
100% |
811
150.8 IPS |
|
|
Image Classification (Q)
|
96% |
641
119.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
601
9.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1014
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2498
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2323
2.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
2037
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
947
75.2 IPS |
|
|
Object Detection (Q)
|
92% |
760
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2356
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1490
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1745
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2716
21.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
2257
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5027
6.46 IPS |
|
|
Style Transfer (HP)
|
100% |
7970
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7164
9.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1235
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1492
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1223
45.2 IPS |
|
|
Text Classification (SP)
|
99% |
463
618.5 IPS |
|
|
Text Classification (HP)
|
99% |
868
1.16 KIPS |
|
|
Text Classification (Q)
|
93% |
871
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1267
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1264
21.8 IPS |
