iPad Pro 11-inch (2nd generation)
Geekbench AI Score
873
Single Precision Score
1282
Half Precision Score
1059
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sichunlam |
| Upload Date | August 16 2024 07:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.5 IPS |
|
|
Image Classification (Q)
|
99% |
690
128.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.67 IPS |
|
|
Image Segmentation (Q)
|
100% |
569
9.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
2096
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1878
2.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
1685
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
99% |
817
64.8 IPS |
|
|
Object Detection (Q)
|
92% |
655
52.2 IPS |
|
|
Face Detection (SP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1607
19.1 IPS |
|
|
Face Detection (Q)
|
100% |
1115
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1204
9.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
2349
18.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
771
5.96 IPS |
|
|
Style Transfer (SP)
|
100% |
4016
5.16 IPS |
|
|
Style Transfer (HP)
|
100% |
6575
8.45 IPS |
|
|
Style Transfer (Q)
|
100% |
6781
8.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1173
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1187
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.5 IPS |
|
|
Text Classification (HP)
|
99% |
558
744.3 IPS |
|
|
Text Classification (Q)
|
93% |
555
744.5 IPS |
|
|
Machine Translation (SP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1071
18.5 IPS |
