iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1020
Single Precision Score
1566
Half Precision Score
1353
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | GELVUJSH |
| Upload Date | September 15 2025 10:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Pro 12.9-inch (4th generation) |
| Model ID | iPad8,12 |
| Motherboard | J421AP |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
490
91.1 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (Q)
|
96% |
644
120.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1028
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2616
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2373
2.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
2098
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (HP)
|
99% |
953
75.6 IPS |
|
|
Object Detection (Q)
|
92% |
759
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1253
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
2317
27.5 IPS |
|
|
Face Detection (Q)
|
100% |
1484
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1756
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2700
20.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
2226
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5140
6.61 IPS |
|
|
Style Transfer (HP)
|
100% |
7863
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7133
9.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1252
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1204
44.4 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.3 IPS |
|
|
Text Classification (HP)
|
100% |
555
740.6 IPS |
|
|
Text Classification (Q)
|
93% |
553
742.0 IPS |
|
|
Machine Translation (SP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1252
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1251
21.6 IPS |
