iPad Pro (11-inch)
Geekbench AI Score
1023
Single Precision Score
1572
Half Precision Score
1353
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
500
92.9 IPS |
|
|
Image Classification (HP)
|
100% |
836
155.4 IPS |
|
|
Image Classification (Q)
|
96% |
652
121.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1026
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2602
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2284
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
2101
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
549
43.6 IPS |
|
|
Object Detection (HP)
|
99% |
957
75.9 IPS |
|
|
Object Detection (Q)
|
92% |
767
61.2 IPS |
|
|
Face Detection (SP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2348
27.9 IPS |
|
|
Face Detection (Q)
|
100% |
1485
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1737
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2688
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2239
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5127
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
7870
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7076
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1225
45.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1189
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.7 IPS |
|
|
Text Classification (HP)
|
99% |
550
734.7 IPS |
|
|
Text Classification (Q)
|
93% |
545
731.4 IPS |
|
|
Machine Translation (SP)
|
100% |
723
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1262
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1254
21.7 IPS |
