iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1024
Single Precision Score
1565
Half Precision Score
1359
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2024 11:44 AM |
| Views | 2 |
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% |
492
91.5 IPS |
|
|
Image Classification (HP)
|
100% |
811
150.8 IPS |
|
|
Image Classification (Q)
|
96% |
648
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
990
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1031
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2621
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2314
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
2178
2.55 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
951
75.4 IPS |
|
|
Object Detection (Q)
|
92% |
761
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1489
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1757
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2691
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2230
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5172
6.65 IPS |
|
|
Style Transfer (HP)
|
100% |
7895
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7107
9.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1237
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1451
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1204
44.5 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.5 IPS |
|
|
Text Classification (HP)
|
99% |
549
733.2 IPS |
|
|
Text Classification (Q)
|
93% |
547
734.1 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1256
21.7 IPS |
