iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1020
Single Precision Score
1568
Half Precision Score
1357
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 07 2025 02:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.4 IPS |
|
|
Image Classification (Q)
|
96% |
632
118.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2613
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2309
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
2102
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
964
76.4 IPS |
|
|
Object Detection (Q)
|
92% |
760
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1258
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
2327
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1497
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1750
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2683
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2236
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5035
6.47 IPS |
|
|
Style Transfer (HP)
|
100% |
7931
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7076
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1242
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1473
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1219
45.0 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.3 IPS |
|
|
Text Classification (HP)
|
100% |
567
756.4 IPS |
|
|
Text Classification (Q)
|
93% |
563
755.3 IPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1269
21.9 IPS |
