iPad Pro 11-inch (2nd generation)
Geekbench AI Score
707
Single Precision Score
2414
Half Precision Score
442
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 01:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.7 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2230
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27353
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1533
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (Q)
|
94% |
200
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6520
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1051
8.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
23076
177.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
603
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
3280
4.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3186
4.10 IPS |
|
|
Style Transfer (Q)
|
96% |
2397
3.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3627
133.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
494
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.4 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.9 IPS |
|
|
Text Classification (Q)
|
93% |
298
399.3 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
98% |
382
6.61 IPS |
