iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1024
Single Precision Score
1550
Half Precision Score
1411
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2024 11:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| 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 | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.3 IPS |
|
|
Image Classification (Q)
|
99% |
801
149.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
982
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2612
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2345
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2117
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
950
75.3 IPS |
|
|
Object Detection (Q)
|
92% |
765
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
1266
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1477
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1751
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2661
20.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
2663
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5136
6.60 IPS |
|
|
Style Transfer (HP)
|
100% |
7885
10.1 IPS |
|
|
Style Transfer (Q)
|
100% |
7891
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1377
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1153
42.7 IPS |
|
|
Text Classification (SP)
|
100% |
284
378.7 IPS |
|
|
Text Classification (HP)
|
99% |
549
733.1 IPS |
|
|
Text Classification (Q)
|
93% |
548
735.7 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1253
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1253
21.6 IPS |
