iPad Pro (11-inch)
Geekbench AI Score
939
Single Precision Score
1364
Half Precision Score
1228
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 21 2024 02:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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 | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
465
86.4 IPS |
|
|
Image Classification (HP)
|
100% |
667
124.0 IPS |
|
|
Image Classification (Q)
|
96% |
550
102.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
746
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2586
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2345
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2215
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
99% |
820
65.0 IPS |
|
|
Object Detection (Q)
|
92% |
664
53.0 IPS |
|
|
Face Detection (SP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1866
22.2 IPS |
|
|
Face Detection (Q)
|
100% |
1292
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1336
10.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2375
18.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
2035
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4895
6.29 IPS |
|
|
Style Transfer (HP)
|
100% |
7664
9.85 IPS |
|
|
Style Transfer (Q)
|
96% |
6941
8.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1212
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1397
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1155
42.6 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.6 IPS |
|
|
Text Classification (HP)
|
99% |
562
749.8 IPS |
|
|
Text Classification (Q)
|
93% |
559
749.8 IPS |
|
|
Machine Translation (SP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1095
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1098
19.0 IPS |
