iPad Pro (11-inch)
Geekbench AI Score
1258
Single Precision Score
1533
Half Precision Score
434
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | September 25 2025 05:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
893
166.0 IPS |
|
|
Image Classification (HP)
|
100% |
1151
214.1 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
218
3.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
2803
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3974
4.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
1695
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
927
73.6 IPS |
|
|
Object Detection (HP)
|
100% |
1220
96.8 IPS |
|
|
Object Detection (Q)
|
92% |
185
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
299
3.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
2984
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4169
32.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
538
4.20 IPS |
|
|
Style Transfer (SP)
|
100% |
7859
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9572
12.3 IPS |
|
|
Style Transfer (Q)
|
96% |
3002
3.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1819
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
207
276.1 IPS |
|
|
Text Classification (HP)
|
100% |
256
341.6 IPS |
|
|
Text Classification (Q)
|
93% |
255
342.2 IPS |
|
|
Machine Translation (SP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.07 IPS |
|
|
Machine Translation (Q)
|
98% |
467
8.07 IPS |
