iPad Pro (11-inch)
Geekbench AI Score
1185
Single Precision Score
1474
Half Precision Score
410
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 07:59 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% |
834
155.0 IPS |
|
|
Image Classification (HP)
|
100% |
1175
218.6 IPS |
|
|
Image Classification (Q)
|
96% |
155
29.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (Q)
|
99% |
220
3.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2806
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3980
4.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
1696
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
969
76.9 IPS |
|
|
Object Detection (HP)
|
100% |
1288
102.2 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3460
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
4092
48.6 IPS |
|
|
Face Detection (Q)
|
100% |
296
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
2849
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4154
32.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
534
4.17 IPS |
|
|
Style Transfer (SP)
|
100% |
7854
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9501
12.2 IPS |
|
|
Style Transfer (Q)
|
96% |
2953
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1389
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1853
68.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
207
275.7 IPS |
|
|
Text Classification (HP)
|
100% |
260
347.2 IPS |
|
|
Text Classification (Q)
|
93% |
257
344.6 IPS |
|
|
Machine Translation (SP)
|
100% |
303
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.73 IPS |
|
|
Machine Translation (Q)
|
98% |
274
4.73 IPS |
