iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1166
Single Precision Score
1430
Half Precision Score
403
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 14 2025 09:51 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
895
166.4 IPS |
|
|
Image Classification (HP)
|
100% |
1231
228.9 IPS |
|
|
Image Classification (Q)
|
96% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
229
3.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
2825
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4025
4.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
1744
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
936
74.2 IPS |
|
|
Object Detection (HP)
|
100% |
1232
97.7 IPS |
|
|
Object Detection (Q)
|
92% |
186
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
3455
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (Q)
|
100% |
298
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
2975
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4188
32.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
544
4.25 IPS |
|
|
Style Transfer (SP)
|
100% |
7916
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9877
12.7 IPS |
|
|
Style Transfer (Q)
|
96% |
2998
3.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1859
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
88
117.3 IPS |
|
|
Text Classification (HP)
|
100% |
106
142.1 IPS |
|
|
Text Classification (Q)
|
93% |
103
137.7 IPS |
|
|
Machine Translation (SP)
|
100% |
530
9.13 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
98% |
491
8.48 IPS |
