iPad Pro 11-inch (2nd generation)
Geekbench AI Score
714
Single Precision Score
2418
Half Precision Score
901
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:40 AM |
| Views | 3 |
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% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
2175
404.5 IPS |
|
|
Image Classification (Q)
|
99% |
2172
405.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.46 IPS |
|
|
Image Segmentation (Q)
|
100% |
399
6.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
2236
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
27244
31.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
1518
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (Q)
|
94% |
201
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6452
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1054
8.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
22737
175.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
22970
177.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3575
4.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3532
4.54 IPS |
|
|
Style Transfer (Q)
|
100% |
3522
4.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
487
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.3 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.4 IPS |
|
|
Text Classification (Q)
|
93% |
296
396.7 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
98% |
382
6.59 IPS |
