iPad Pro (11-inch)
Geekbench AI Score
706
Single Precision Score
2420
Half Precision Score
439
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Boldi2010 |
| Upload Date | December 28 2025 03:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,1 |
| Motherboard | J317AP |
| 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 | 3.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
329
61.1 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.8 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2139
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
27326
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1507
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1420
112.7 IPS |
|
|
Object Detection (Q)
|
94% |
195
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6451
76.6 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1047
8.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
23048
177.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
601
4.69 IPS |
|
|
Style Transfer (SP)
|
100% |
3556
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3512
4.51 IPS |
|
|
Style Transfer (Q)
|
96% |
2544
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
949
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3268
120.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
476
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
260
346.6 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.5 IPS |
|
|
Text Classification (Q)
|
93% |
293
393.2 IPS |
|
|
Machine Translation (SP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.50 IPS |
|
|
Machine Translation (Q)
|
98% |
374
6.47 IPS |
