iPad Pro (11-inch)
Geekbench AI Score
1021
Single Precision Score
1549
Half Precision Score
1343
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:27 PM |
| 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% |
484
90.1 IPS |
|
|
Image Classification (HP)
|
100% |
795
147.8 IPS |
|
|
Image Classification (Q)
|
96% |
622
116.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1024
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2619
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2294
2.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
2133
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (HP)
|
99% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
92% |
762
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2341
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1479
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1756
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2666
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2203
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5061
6.51 IPS |
|
|
Style Transfer (HP)
|
100% |
7863
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7029
9.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1385
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1163
43.0 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.2 IPS |
|
|
Text Classification (HP)
|
100% |
557
742.9 IPS |
|
|
Text Classification (Q)
|
93% |
550
738.4 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1267
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1265
21.9 IPS |
