iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1163
Single Precision Score
1414
Half Precision Score
402
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 05 2026 07:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
896
166.6 IPS |
|
|
Image Classification (HP)
|
100% |
1204
223.8 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2828
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4003
4.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1714
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
942
74.7 IPS |
|
|
Object Detection (HP)
|
100% |
1231
97.7 IPS |
|
|
Object Detection (Q)
|
92% |
183
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
3394
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3981
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
299
3.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
2898
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4059
31.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
549
4.29 IPS |
|
|
Style Transfer (SP)
|
100% |
7843
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9668
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
3025
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
94
126.1 IPS |
|
|
Text Classification (HP)
|
100% |
100
133.7 IPS |
|
|
Text Classification (Q)
|
93% |
103
137.8 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.22 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (Q)
|
98% |
491
8.49 IPS |
