iPad Pro 11-inch (2nd generation)
Geekbench AI Score
691
Single Precision Score
2315
Half Precision Score
422
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:57 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% |
337
62.7 IPS |
|
|
Image Classification (HP)
|
100% |
2118
393.9 IPS |
|
|
Image Classification (Q)
|
99% |
160
29.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
2148
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
27216
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1484
1.74 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
1335
105.9 IPS |
|
|
Object Detection (Q)
|
94% |
188
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
838
9.95 IPS |
|
|
Face Detection (HP)
|
100% |
6469
76.9 IPS |
|
|
Face Detection (Q)
|
100% |
298
3.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
1039
8.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
23727
182.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
600
4.69 IPS |
|
|
Style Transfer (SP)
|
100% |
2893
3.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2726
3.50 IPS |
|
|
Style Transfer (Q)
|
96% |
1860
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3323
122.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
471
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
300
401.0 IPS |
|
|
Text Classification (HP)
|
100% |
314
419.3 IPS |
|
|
Text Classification (Q)
|
93% |
314
421.6 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
98% |
367
6.35 IPS |
