iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
709
Single Precision Score
2426
Half Precision Score
437
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 27 2025 11:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
334
62.2 IPS |
|
|
Image Classification (HP)
|
100% |
2391
444.6 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2183
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
27588
32.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
1517
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
1400
111.1 IPS |
|
|
Object Detection (Q)
|
94% |
189
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
854
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6604
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1048
8.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
23097
177.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
597
4.66 IPS |
|
|
Style Transfer (SP)
|
100% |
3568
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3530
4.54 IPS |
|
|
Style Transfer (Q)
|
96% |
2544
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
952
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3336
123.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
474
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.9 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.2 IPS |
|
|
Text Classification (Q)
|
93% |
293
393.1 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (Q)
|
98% |
376
6.49 IPS |
