iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1022
Single Precision Score
1564
Half Precision Score
1355
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 10:37 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% |
494
91.8 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (Q)
|
96% |
638
119.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2619
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2362
2.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
2178
2.55 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
99% |
950
75.4 IPS |
|
|
Object Detection (Q)
|
92% |
771
61.6 IPS |
|
|
Face Detection (SP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2361
28.1 IPS |
|
|
Face Detection (Q)
|
100% |
1492
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1757
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2685
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2231
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5202
6.69 IPS |
|
|
Style Transfer (HP)
|
100% |
7986
10.3 IPS |
|
|
Style Transfer (Q)
|
96% |
7044
9.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1209
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1191
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.1 IPS |
|
|
Text Classification (HP)
|
99% |
553
737.6 IPS |
|
|
Text Classification (Q)
|
93% |
548
736.0 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1250
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1250
21.6 IPS |
