iPad Pro 11-inch (2nd generation)
Geekbench AI Score
717
Single Precision Score
2452
Half Precision Score
904
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 11:29 AM |
| 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% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.0 IPS |
|
|
Image Classification (Q)
|
99% |
2164
403.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (Q)
|
100% |
405
6.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2241
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
27241
31.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
1520
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
6562
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1065
8.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
22976
177.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
22564
174.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3566
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3525
4.53 IPS |
|
|
Style Transfer (Q)
|
100% |
3533
4.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
966
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3620
133.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
489
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.1 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.8 IPS |
|
|
Text Classification (Q)
|
93% |
299
401.2 IPS |
|
|
Machine Translation (SP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.59 IPS |
|
|
Machine Translation (Q)
|
98% |
382
6.60 IPS |
