iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1162
Single Precision Score
1411
Half Precision Score
400
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 13 2026 05:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
885
164.6 IPS |
|
|
Image Classification (HP)
|
100% |
1232
229.0 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
374
6.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3980
4.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
1716
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (HP)
|
100% |
1210
96.0 IPS |
|
|
Object Detection (Q)
|
92% |
183
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
3401
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3966
47.1 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
2837
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4086
31.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
544
4.25 IPS |
|
|
Style Transfer (SP)
|
100% |
7875
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9762
12.5 IPS |
|
|
Style Transfer (Q)
|
96% |
2955
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1369
50.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
98
130.7 IPS |
|
|
Text Classification (HP)
|
100% |
101
134.6 IPS |
|
|
Text Classification (Q)
|
93% |
101
136.2 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.43 IPS |
|
|
Machine Translation (Q)
|
98% |
496
8.57 IPS |
