iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1154
Single Precision Score
1421
Half Precision Score
399
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 07 2025 02:27 PM |
| Views | 4 |
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% |
904
168.1 IPS |
|
|
Image Classification (HP)
|
100% |
1258
234.0 IPS |
|
|
Image Classification (Q)
|
96% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
2808
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3992
4.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
1713
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
926
73.5 IPS |
|
|
Object Detection (HP)
|
100% |
1236
98.1 IPS |
|
|
Object Detection (Q)
|
92% |
182
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3859
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
296
3.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
2852
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4090
31.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
542
4.23 IPS |
|
|
Style Transfer (SP)
|
100% |
7885
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9816
12.6 IPS |
|
|
Style Transfer (Q)
|
96% |
2938
3.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
93
124.2 IPS |
|
|
Text Classification (HP)
|
100% |
104
139.2 IPS |
|
|
Text Classification (Q)
|
93% |
101
135.8 IPS |
|
|
Machine Translation (SP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (Q)
|
98% |
490
8.46 IPS |
