iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1076
Single Precision Score
1657
Half Precision Score
1437
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | richh- |
| Upload Date | March 10 2026 04:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
500
93.0 IPS |
|
|
Image Classification (HP)
|
100% |
817
151.9 IPS |
|
|
Image Classification (Q)
|
96% |
644
120.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
588
9.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1012
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2546
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2311
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
2073
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
553
43.9 IPS |
|
|
Object Detection (HP)
|
99% |
969
76.9 IPS |
|
|
Object Detection (Q)
|
92% |
780
62.2 IPS |
|
|
Face Detection (SP)
|
100% |
1297
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
2430
28.9 IPS |
|
|
Face Detection (Q)
|
100% |
1533
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1721
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2693
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2280
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4899
6.30 IPS |
|
|
Style Transfer (HP)
|
100% |
7885
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7078
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1421
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1212
44.7 IPS |
|
|
Text Classification (SP)
|
99% |
482
643.7 IPS |
|
|
Text Classification (HP)
|
99% |
930
1.24 KIPS |
|
|
Text Classification (Q)
|
92% |
925
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1295
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1287
22.2 IPS |
