iPad Pro (11-inch)
Geekbench AI Score
1026
Single Precision Score
1554
Half Precision Score
1345
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 07:15 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% |
501
93.2 IPS |
|
|
Image Classification (HP)
|
100% |
819
152.3 IPS |
|
|
Image Classification (Q)
|
96% |
642
120.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1032
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2619
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2296
2.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
2111
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (HP)
|
99% |
951
75.4 IPS |
|
|
Object Detection (Q)
|
92% |
759
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2360
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1481
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1761
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2656
20.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2206
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5129
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
7879
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7087
9.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1166
43.1 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.2 IPS |
|
|
Text Classification (HP)
|
99% |
553
738.0 IPS |
|
|
Text Classification (Q)
|
93% |
544
730.1 IPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1252
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1249
21.6 IPS |
