iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
715
Single Precision Score
2447
Half Precision Score
444
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 19 2026 10:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
2279
423.9 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
2191
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
27708
32.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
1520
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (HP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (Q)
|
94% |
207
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6599
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
1064
8.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
23739
182.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
609
4.76 IPS |
|
|
Style Transfer (SP)
|
100% |
3523
4.53 IPS |
|
|
Style Transfer (HP)
|
100% |
3495
4.49 IPS |
|
|
Style Transfer (Q)
|
96% |
2533
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3398
125.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
481
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.2 IPS |
|
|
Text Classification (HP)
|
100% |
307
410.1 IPS |
|
|
Text Classification (Q)
|
93% |
308
413.2 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (Q)
|
98% |
372
6.43 IPS |
