iPad Pro (11-inch)
Geekbench AI Score
1185
Single Precision Score
1460
Half Precision Score
409
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 07:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
854
158.9 IPS |
|
|
Image Classification (HP)
|
100% |
1113
206.9 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
99% |
222
3.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
2817
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3982
4.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1705
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
965
76.6 IPS |
|
|
Object Detection (HP)
|
100% |
1265
100.3 IPS |
|
|
Object Detection (Q)
|
92% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3432
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
4038
48.0 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
2854
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4167
32.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
533
4.16 IPS |
|
|
Style Transfer (SP)
|
100% |
7836
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9483
12.2 IPS |
|
|
Style Transfer (Q)
|
96% |
2942
3.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1385
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1835
67.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
395
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
208
277.3 IPS |
|
|
Text Classification (HP)
|
100% |
259
345.3 IPS |
|
|
Text Classification (Q)
|
93% |
258
345.7 IPS |
|
|
Machine Translation (SP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.73 IPS |
|
|
Machine Translation (Q)
|
98% |
273
4.72 IPS |
