iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1153
Single Precision Score
1420
Half Precision Score
403
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 05:10 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% |
914
169.9 IPS |
|
|
Image Classification (HP)
|
100% |
1168
217.3 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
230
3.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
2831
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4011
4.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1691
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (HP)
|
100% |
1268
100.5 IPS |
|
|
Object Detection (Q)
|
92% |
183
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3894
46.3 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
2839
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4061
31.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
545
4.25 IPS |
|
|
Style Transfer (SP)
|
100% |
7863
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9610
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
3025
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1372
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1813
66.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
90
120.1 IPS |
|
|
Text Classification (HP)
|
100% |
105
139.8 IPS |
|
|
Text Classification (Q)
|
93% |
106
141.7 IPS |
|
|
Machine Translation (SP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (Q)
|
98% |
495
8.55 IPS |
