iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1001
Single Precision Score
1549
Half Precision Score
1350
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | archiarch |
| Upload Date | January 08 2026 12:55 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| 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% |
472
87.8 IPS |
|
|
Image Classification (HP)
|
100% |
816
151.7 IPS |
|
|
Image Classification (Q)
|
96% |
647
120.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1000
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2558
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2194
2.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
2110
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (HP)
|
99% |
936
74.3 IPS |
|
|
Object Detection (Q)
|
92% |
755
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
1249
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
2339
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1477
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1654
12.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2645
20.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
2226
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4960
6.38 IPS |
|
|
Style Transfer (HP)
|
100% |
7593
9.76 IPS |
|
|
Style Transfer (Q)
|
96% |
6894
8.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1236
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1421
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1211
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.9 IPS |
|
|
Text Classification (HP)
|
100% |
579
772.4 IPS |
|
|
Text Classification (Q)
|
93% |
560
752.1 IPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1278
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1275
22.0 IPS |
