iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1023
Single Precision Score
1566
Half Precision Score
1345
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 03:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
496
92.2 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.5 IPS |
|
|
Image Classification (Q)
|
96% |
633
118.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1020
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2591
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2310
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
1998
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
954
75.7 IPS |
|
|
Object Detection (Q)
|
92% |
765
61.0 IPS |
|
|
Face Detection (SP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2329
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1503
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1761
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2679
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2212
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5072
6.52 IPS |
|
|
Style Transfer (HP)
|
100% |
7810
10.0 IPS |
|
|
Style Transfer (Q)
|
96% |
7063
9.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1451
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1196
44.2 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.5 IPS |
|
|
Text Classification (HP)
|
100% |
559
746.7 IPS |
|
|
Text Classification (Q)
|
93% |
558
749.4 IPS |
|
|
Machine Translation (SP)
|
100% |
723
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1259
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1261
21.8 IPS |
