iPad Pro 11-inch (2nd generation)
Geekbench AI Score
709
Single Precision Score
2374
Half Precision Score
439
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 06:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
337
62.7 IPS |
|
|
Image Classification (HP)
|
100% |
2160
401.7 IPS |
|
|
Image Classification (Q)
|
99% |
162
30.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
228
3.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
2204
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
27254
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1530
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
1338
106.2 IPS |
|
|
Object Detection (Q)
|
94% |
193
15.4 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6464
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1044
8.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
23118
178.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
598
4.67 IPS |
|
|
Style Transfer (SP)
|
100% |
3570
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3521
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2544
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3267
120.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
481
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
260
347.0 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.8 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.1 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.50 IPS |
|
|
Machine Translation (Q)
|
98% |
377
6.51 IPS |
