iPad Pro (11-inch)
Geekbench AI Score
1018
Single Precision Score
1550
Half Precision Score
1341
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 07:20 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% |
486
90.4 IPS |
|
|
Image Classification (HP)
|
100% |
813
151.2 IPS |
|
|
Image Classification (Q)
|
96% |
630
117.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
996
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1026
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2573
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2224
2.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
2095
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (HP)
|
99% |
952
75.5 IPS |
|
|
Object Detection (Q)
|
92% |
763
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1486
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1731
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2677
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2210
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5019
6.45 IPS |
|
|
Style Transfer (HP)
|
100% |
7775
9.99 IPS |
|
|
Style Transfer (Q)
|
96% |
7054
9.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1243
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1156
42.7 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.1 IPS |
|
|
Text Classification (HP)
|
99% |
549
732.4 IPS |
|
|
Text Classification (Q)
|
93% |
545
731.5 IPS |
|
|
Machine Translation (SP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1248
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1251
21.6 IPS |
