iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1021
Single Precision Score
1575
Half Precision Score
1359
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 13 2026 05:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
489
91.0 IPS |
|
|
Image Classification (HP)
|
100% |
825
153.4 IPS |
|
|
Image Classification (Q)
|
96% |
646
120.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1004
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2592
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2348
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2071
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
92% |
755
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2333
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1480
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1742
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2668
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2282
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4973
6.39 IPS |
|
|
Style Transfer (HP)
|
100% |
7882
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7119
9.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1280
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1477
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1228
45.3 IPS |
|
|
Text Classification (SP)
|
100% |
291
389.0 IPS |
|
|
Text Classification (HP)
|
100% |
572
763.3 IPS |
|
|
Text Classification (Q)
|
93% |
565
757.7 IPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1295
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1275
22.0 IPS |
