iPad Pro (11-inch)
Geekbench AI Score
1018
Single Precision Score
1558
Half Precision Score
1339
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 06:46 AM |
| 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% |
494
91.9 IPS |
|
|
Image Classification (HP)
|
100% |
830
154.4 IPS |
|
|
Image Classification (Q)
|
96% |
628
117.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2585
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2223
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
2050
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
966
76.7 IPS |
|
|
Object Detection (Q)
|
92% |
763
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2332
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1477
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1744
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2708
20.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
2205
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4994
6.42 IPS |
|
|
Style Transfer (HP)
|
100% |
7833
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7042
9.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1173
43.3 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.1 IPS |
|
|
Text Classification (HP)
|
99% |
550
734.4 IPS |
|
|
Text Classification (Q)
|
93% |
546
732.6 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1255
21.7 IPS |
