iPad Pro (11-inch)
Geekbench AI Score
1150
Single Precision Score
1405
Half Precision Score
393
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | md16 |
| Upload Date | December 12 2025 08:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
872
162.2 IPS |
|
|
Image Classification (HP)
|
100% |
1232
229.2 IPS |
|
|
Image Classification (Q)
|
96% |
157
29.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
99% |
220
3.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2813
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3966
4.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
1685
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
924
73.3 IPS |
|
|
Object Detection (HP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (Q)
|
92% |
177
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3420
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
293
3.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
2857
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4092
31.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
533
4.16 IPS |
|
|
Style Transfer (SP)
|
100% |
7879
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9628
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
3022
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1358
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
394
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
92
122.5 IPS |
|
|
Text Classification (HP)
|
100% |
100
132.9 IPS |
|
|
Text Classification (Q)
|
93% |
99
133.4 IPS |
|
|
Machine Translation (SP)
|
100% |
531
9.14 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
98% |
474
8.19 IPS |
