iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
700
Single Precision Score
2426
Half Precision Score
438
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 02 2026 07:33 AM |
| Views | 8 |
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% |
338
62.9 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.1 IPS |
|
|
Image Classification (Q)
|
99% |
172
32.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
2175
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
27655
32.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
1510
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (Q)
|
94% |
205
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6524
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1063
8.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
23584
181.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
610
4.77 IPS |
|
|
Style Transfer (SP)
|
100% |
3148
4.05 IPS |
|
|
Style Transfer (HP)
|
100% |
2988
3.84 IPS |
|
|
Style Transfer (Q)
|
96% |
2314
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3541
130.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
489
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.8 IPS |
|
|
Text Classification (HP)
|
100% |
287
383.0 IPS |
|
|
Text Classification (Q)
|
93% |
284
381.5 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (Q)
|
98% |
372
6.43 IPS |
