iPad Pro (11-inch)
Geekbench AI Score
987
Single Precision Score
1532
Half Precision Score
1323
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 06:50 AM |
| Views | 1 |
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% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
804
149.5 IPS |
|
|
Image Classification (Q)
|
96% |
642
119.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
990
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1031
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2340
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2132
2.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
1859
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
953
75.6 IPS |
|
|
Object Detection (Q)
|
92% |
761
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2321
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1477
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1622
12.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2655
20.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2203
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4400
5.66 IPS |
|
|
Style Transfer (HP)
|
100% |
7408
9.52 IPS |
|
|
Style Transfer (Q)
|
96% |
6672
8.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1194
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
283
378.3 IPS |
|
|
Text Classification (HP)
|
99% |
550
734.7 IPS |
|
|
Text Classification (Q)
|
93% |
546
733.2 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1245
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1243
21.5 IPS |
