iPad Pro (11-inch)
Geekbench AI Score
918
Single Precision Score
1360
Half Precision Score
1137
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | anbG34 |
| Upload Date | August 18 2024 07:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
464
86.4 IPS |
|
|
Image Classification (HP)
|
100% |
689
128.1 IPS |
|
|
Image Classification (Q)
|
99% |
684
127.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
495
8.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (Q)
|
100% |
615
9.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
2386
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2120
2.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
1924
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (HP)
|
99% |
831
65.9 IPS |
|
|
Object Detection (Q)
|
92% |
682
54.4 IPS |
|
|
Face Detection (SP)
|
100% |
1085
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1896
22.5 IPS |
|
|
Face Detection (Q)
|
100% |
1282
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1342
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2424
18.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
997
7.71 IPS |
|
|
Style Transfer (SP)
|
100% |
4705
6.05 IPS |
|
|
Style Transfer (HP)
|
100% |
7418
9.54 IPS |
|
|
Style Transfer (Q)
|
100% |
7350
9.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1160
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1185
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.2 IPS |
|
|
Text Classification (HP)
|
99% |
548
730.9 IPS |
|
|
Text Classification (Q)
|
93% |
541
726.7 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1092
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1095
18.9 IPS |
