iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
704
Single Precision Score
2430
Half Precision Score
434
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 07 2025 02:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
339
63.0 IPS |
|
|
Image Classification (HP)
|
100% |
2289
425.7 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
221
3.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
2181
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
27629
32.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
1499
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (Q)
|
94% |
205
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
837
9.94 IPS |
|
|
Face Detection (HP)
|
100% |
6831
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
279
3.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
1064
8.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
25420
195.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
602
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
3253
4.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3065
3.94 IPS |
|
|
Style Transfer (Q)
|
96% |
2217
2.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3435
126.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
500
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.6 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.1 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.6 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
98% |
375
6.48 IPS |
