iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
706
Single Precision Score
2436
Half Precision Score
444
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 13 2026 05:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
341
63.4 IPS |
|
|
Image Classification (HP)
|
100% |
2467
458.9 IPS |
|
|
Image Classification (Q)
|
99% |
173
32.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
2131
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
24705
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1464
1.72 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1453
115.3 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
846
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6724
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1046
8.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
23497
181.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
602
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
3548
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3526
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2540
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
950
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3401
125.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
496
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.6 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.4 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.9 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
98% |
378
6.54 IPS |
