iPad Pro 11-inch (2nd generation)
Geekbench AI Score
714
Single Precision Score
2431
Half Precision Score
447
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2024 11:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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
62.2 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.4 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
228
3.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
2243
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
27307
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1555
1.82 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (Q)
|
94% |
205
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6349
75.4 IPS |
|
|
Face Detection (Q)
|
100% |
303
3.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1056
8.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
22947
176.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
602
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
3572
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3528
4.54 IPS |
|
|
Style Transfer (Q)
|
96% |
2554
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3654
134.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
494
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
260
347.5 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.3 IPS |
|
|
Text Classification (Q)
|
93% |
300
403.1 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.57 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.56 IPS |
