iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
617
Single Precision Score
2369
Half Precision Score
399
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 05:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
327
60.9 IPS |
|
|
Image Classification (HP)
|
100% |
2292
426.3 IPS |
|
|
Image Classification (Q)
|
99% |
167
31.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
219
3.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
1260
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
28954
33.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
927
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
822
9.77 IPS |
|
|
Face Detection (HP)
|
100% |
6684
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
281
3.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
845
6.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
24706
190.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
499
3.90 IPS |
|
|
Style Transfer (SP)
|
100% |
2246
2.89 IPS |
|
|
Style Transfer (HP)
|
100% |
2188
2.81 IPS |
|
|
Style Transfer (Q)
|
96% |
1700
2.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
913
33.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3340
123.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
486
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
297
395.8 IPS |
|
|
Text Classification (HP)
|
100% |
344
459.2 IPS |
|
|
Text Classification (Q)
|
93% |
352
472.0 IPS |
|
|
Machine Translation (SP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.21 IPS |
|
|
Machine Translation (Q)
|
98% |
367
6.34 IPS |
