iPad Pro (11-inch)
Geekbench AI Score
984
Single Precision Score
1528
Half Precision Score
1317
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 06:58 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% |
489
90.9 IPS |
|
|
Image Classification (HP)
|
100% |
805
149.8 IPS |
|
|
Image Classification (Q)
|
96% |
632
118.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
991
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1026
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2246
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2061
2.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
1808
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
952
75.5 IPS |
|
|
Object Detection (Q)
|
92% |
758
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
1266
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2336
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1495
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1649
12.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2656
20.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2208
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4403
5.66 IPS |
|
|
Style Transfer (HP)
|
100% |
7386
9.50 IPS |
|
|
Style Transfer (Q)
|
96% |
6685
8.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1231
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1411
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1175
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
284
378.6 IPS |
|
|
Text Classification (HP)
|
99% |
546
728.3 IPS |
|
|
Text Classification (Q)
|
93% |
544
730.3 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1256
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1253
21.7 IPS |
