iPad Pro (11-inch)
Geekbench AI Score
1024
Single Precision Score
1558
Half Precision Score
1351
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 02:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
490
91.1 IPS |
|
|
Image Classification (HP)
|
100% |
836
155.5 IPS |
|
|
Image Classification (Q)
|
96% |
650
121.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2607
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2308
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
2144
2.51 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.4 IPS |
|
|
Object Detection (HP)
|
99% |
951
75.5 IPS |
|
|
Object Detection (Q)
|
92% |
764
61.0 IPS |
|
|
Face Detection (SP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2345
27.9 IPS |
|
|
Face Detection (Q)
|
100% |
1501
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1744
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2720
21.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
2225
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5162
6.64 IPS |
|
|
Style Transfer (HP)
|
100% |
7817
10.0 IPS |
|
|
Style Transfer (Q)
|
96% |
7049
9.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1152
42.5 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.2 IPS |
|
|
Text Classification (HP)
|
99% |
548
731.3 IPS |
|
|
Text Classification (Q)
|
93% |
547
733.5 IPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1256
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1256
21.7 IPS |
