S iPad Pro iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1026
Single Precision Score
1564
Half Precision Score
1354
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ERTIS |
| Upload Date | March 18 2025 12:21 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
497
92.5 IPS |
|
|
Image Classification (HP)
|
100% |
838
155.8 IPS |
|
|
Image Classification (Q)
|
96% |
653
122.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1026
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2621
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2335
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
2193
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
950
75.4 IPS |
|
|
Object Detection (Q)
|
92% |
764
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2349
27.9 IPS |
|
|
Face Detection (Q)
|
100% |
1477
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1755
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2682
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2220
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5220
6.71 IPS |
|
|
Style Transfer (HP)
|
100% |
7935
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7090
9.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1155
42.7 IPS |
|
|
Text Classification (SP)
|
100% |
287
382.6 IPS |
|
|
Text Classification (HP)
|
99% |
553
737.5 IPS |
|
|
Text Classification (Q)
|
93% |
547
733.9 IPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1261
21.8 IPS |
