iPad Pro (11-inch)
Geekbench AI Score
969
Single Precision Score
1528
Half Precision Score
1313
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 06:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
486
90.4 IPS |
|
|
Image Classification (HP)
|
100% |
793
147.5 IPS |
|
|
Image Classification (Q)
|
96% |
623
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1018
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2389
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2108
2.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
1848
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (HP)
|
99% |
956
75.9 IPS |
|
|
Object Detection (Q)
|
92% |
760
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
2317
27.5 IPS |
|
|
Face Detection (Q)
|
100% |
1465
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1546
11.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2684
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2212
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3889
5.00 IPS |
|
|
Style Transfer (HP)
|
100% |
7056
9.07 IPS |
|
|
Style Transfer (Q)
|
96% |
6366
8.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1240
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1193
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
289
386.0 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.0 IPS |
|
|
Text Classification (Q)
|
93% |
552
740.5 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1265
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1262
21.8 IPS |
