iPad Pro (11-inch)
Geekbench AI Score
1010
Single Precision Score
1549
Half Precision Score
1339
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 07:24 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% |
492
91.4 IPS |
|
|
Image Classification (HP)
|
100% |
815
151.5 IPS |
|
|
Image Classification (Q)
|
96% |
637
118.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1032
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2562
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2221
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
2062
2.42 IPS |
|
|
Object Detection (SP)
|
100% |
547
43.3 IPS |
|
|
Object Detection (HP)
|
99% |
965
76.5 IPS |
|
|
Object Detection (Q)
|
92% |
758
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2330
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1482
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1733
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2672
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2214
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4544
5.84 IPS |
|
|
Style Transfer (HP)
|
100% |
7758
9.97 IPS |
|
|
Style Transfer (Q)
|
96% |
7029
9.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1377
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1146
42.3 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.1 IPS |
|
|
Text Classification (HP)
|
99% |
553
737.9 IPS |
|
|
Text Classification (Q)
|
93% |
547
733.5 IPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1252
21.6 IPS |
