iPad Pro (11-inch)
Geekbench AI Score
694
Single Precision Score
1187
Half Precision Score
1015
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:47 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% |
316
58.8 IPS |
|
|
Image Classification (HP)
|
100% |
629
117.1 IPS |
|
|
Image Classification (Q)
|
96% |
468
87.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
452
7.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
746
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1243
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1180
1.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
1284
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (HP)
|
99% |
855
67.8 IPS |
|
|
Object Detection (Q)
|
92% |
488
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
906
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (Q)
|
100% |
1182
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1192
9.18 IPS |
|
|
Depth Estimation (HP)
|
98% |
2385
18.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
1696
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3335
4.29 IPS |
|
|
Style Transfer (HP)
|
100% |
5962
7.66 IPS |
|
|
Style Transfer (Q)
|
96% |
4658
6.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1139
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
924
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.2 IPS |
|
|
Text Classification (HP)
|
100% |
532
709.8 IPS |
|
|
Text Classification (Q)
|
93% |
502
673.3 IPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
99% |
1226
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1234
21.3 IPS |
