iPad Pro 11-inch (2nd generation)
Geekbench AI Score
708
Single Precision Score
2360
Half Precision Score
433
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 01 2025 12:41 PM |
| Views | 5 |
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% |
339
63.0 IPS |
|
|
Image Classification (HP)
|
100% |
2109
392.2 IPS |
|
|
Image Classification (Q)
|
99% |
157
29.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2181
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
27256
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1522
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
378
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (Q)
|
94% |
185
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
844
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
6468
76.9 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1041
8.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
23344
179.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
599
4.68 IPS |
|
|
Style Transfer (SP)
|
100% |
3566
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3520
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
2538
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3267
120.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
464
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.2 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.1 IPS |
|
|
Text Classification (Q)
|
93% |
294
395.1 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
98% |
376
6.50 IPS |
