iPad Pro (11-inch)
Geekbench AI Score
706
Single Precision Score
2360
Half Precision Score
437
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | md16 |
| Upload Date | December 12 2025 08:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
332
61.8 IPS |
|
|
Image Classification (HP)
|
100% |
2152
400.2 IPS |
|
|
Image Classification (Q)
|
99% |
160
29.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
357
5.78 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
2179
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
27411
32.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
1507
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (Q)
|
94% |
194
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
863
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6461
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1042
8.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
23179
178.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
597
4.66 IPS |
|
|
Style Transfer (SP)
|
100% |
3543
4.55 IPS |
|
|
Style Transfer (HP)
|
100% |
3466
4.46 IPS |
|
|
Style Transfer (Q)
|
96% |
2533
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3245
119.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
484
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.3 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.7 IPS |
|
|
Text Classification (Q)
|
93% |
296
396.9 IPS |
|
|
Machine Translation (SP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
98% |
377
6.51 IPS |
