iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
698
Single Precision Score
2526
Half Precision Score
451
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | randymassey |
| Upload Date | October 05 2025 08:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
338
62.9 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.8 IPS |
|
|
Image Classification (Q)
|
99% |
180
33.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2137
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
30253
35.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
1526
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (Q)
|
94% |
213
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
730
8.67 IPS |
|
|
Face Detection (HP)
|
100% |
6790
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
296
3.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
1083
8.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
25340
195.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
596
4.66 IPS |
|
|
Style Transfer (SP)
|
100% |
3390
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3393
4.36 IPS |
|
|
Style Transfer (Q)
|
96% |
2477
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3570
131.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
517
19.1 IPS |
|
|
Text Classification (SP)
|
100% |
269
358.5 IPS |
|
|
Text Classification (HP)
|
100% |
311
415.4 IPS |
|
|
Text Classification (Q)
|
93% |
310
416.1 IPS |
|
|
Machine Translation (SP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (Q)
|
98% |
384
6.64 IPS |
