iPad Pro 11-inch (2nd generation)
Geekbench AI Score
710
Single Precision Score
2424
Half Precision Score
908
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2024 12:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
331
61.6 IPS |
|
|
Image Classification (HP)
|
100% |
2159
401.5 IPS |
|
|
Image Classification (Q)
|
99% |
2168
404.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.46 IPS |
|
|
Image Segmentation (Q)
|
100% |
405
6.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2232
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27296
31.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
1519
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (Q)
|
94% |
201
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
800
9.51 IPS |
|
|
Face Detection (HP)
|
100% |
6463
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1056
8.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
22648
174.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
22334
172.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3573
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3535
4.54 IPS |
|
|
Style Transfer (Q)
|
100% |
3527
4.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3617
133.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
505
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.9 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.5 IPS |
|
|
Text Classification (Q)
|
93% |
313
419.4 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.59 IPS |
|
|
Machine Translation (Q)
|
98% |
382
6.60 IPS |
