iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1025
Single Precision Score
1571
Half Precision Score
1346
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2024 11:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
497
92.4 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (Q)
|
96% |
651
121.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
1004
16.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1038
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2621
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2336
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
1965
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (HP)
|
99% |
954
75.7 IPS |
|
|
Object Detection (Q)
|
92% |
766
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
1275
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1490
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1758
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2689
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2225
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5247
6.74 IPS |
|
|
Style Transfer (HP)
|
100% |
7914
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7104
9.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1189
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.2 IPS |
|
|
Text Classification (HP)
|
99% |
552
737.1 IPS |
|
|
Text Classification (Q)
|
93% |
547
734.6 IPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1259
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1255
21.7 IPS |
