iPad Pro 11-inch (2nd generation)
Geekbench AI Score
709
Single Precision Score
2370
Half Precision Score
433
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| 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% |
334
62.2 IPS |
|
|
Image Classification (HP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (Q)
|
99% |
157
29.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2194
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
27268
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1524
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (Q)
|
94% |
186
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6462
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1045
8.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
23395
180.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
598
4.67 IPS |
|
|
Style Transfer (SP)
|
100% |
3569
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3527
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2540
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
954
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3244
119.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
464
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
259
346.1 IPS |
|
|
Text Classification (HP)
|
100% |
297
397.0 IPS |
|
|
Text Classification (Q)
|
93% |
296
396.7 IPS |
|
|
Machine Translation (SP)
|
100% |
490
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
98% |
375
6.48 IPS |
