iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1177
Single Precision Score
1421
Half Precision Score
404
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 12 2026 03:07 AM |
| Views | 8 |
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% |
932
173.2 IPS |
|
|
Image Classification (HP)
|
100% |
1204
223.8 IPS |
|
|
Image Classification (Q)
|
96% |
162
30.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
230
3.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
2829
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4025
4.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
1707
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
932
73.9 IPS |
|
|
Object Detection (HP)
|
100% |
1222
96.9 IPS |
|
|
Object Detection (Q)
|
92% |
183
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
3367
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
4002
47.6 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
2856
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4086
31.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
546
4.27 IPS |
|
|
Style Transfer (SP)
|
100% |
7841
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9559
12.3 IPS |
|
|
Style Transfer (Q)
|
96% |
3042
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1426
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
99
131.8 IPS |
|
|
Text Classification (HP)
|
100% |
102
136.4 IPS |
|
|
Text Classification (Q)
|
93% |
102
137.2 IPS |
|
|
Machine Translation (SP)
|
100% |
538
9.26 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
98% |
500
8.63 IPS |
