iPad Pro (11-inch)
Geekbench AI Score
777
Single Precision Score
1062
Half Precision Score
967
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,3 |
| Motherboard | J318AP |
| 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% |
479
89.0 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.3 IPS |
|
|
Image Classification (Q)
|
96% |
640
119.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1006
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2299
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1982
2.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
1671
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (HP)
|
99% |
941
74.7 IPS |
|
|
Object Detection (Q)
|
92% |
756
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
1246
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1778
21.1 IPS |
|
|
Face Detection (Q)
|
100% |
1054
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
943
7.26 IPS |
|
|
Depth Estimation (HP)
|
98% |
1973
15.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
795
6.22 IPS |
|
|
Style Transfer (SP)
|
100% |
2515
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2669
3.43 IPS |
|
|
Style Transfer (Q)
|
96% |
2413
3.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
813
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.5 IPS |
|
|
Text Classification (HP)
|
100% |
350
467.0 IPS |
|
|
Text Classification (Q)
|
93% |
481
645.4 IPS |
|
|
Machine Translation (SP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1035
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1117
19.3 IPS |
