iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1006
Single Precision Score
1555
Half Precision Score
1339
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 02:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
487
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (Q)
|
96% |
629
117.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1034
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2569
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2268
2.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1975
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (HP)
|
99% |
958
76.0 IPS |
|
|
Object Detection (Q)
|
92% |
767
61.2 IPS |
|
|
Face Detection (SP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2319
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1474
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1729
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2663
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2207
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4494
5.78 IPS |
|
|
Style Transfer (HP)
|
100% |
7770
9.99 IPS |
|
|
Style Transfer (Q)
|
96% |
6960
8.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1447
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1188
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
286
382.1 IPS |
|
|
Text Classification (HP)
|
100% |
559
745.9 IPS |
|
|
Text Classification (Q)
|
93% |
558
748.3 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1253
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1258
21.7 IPS |
