iPad Pro (12.9-inch 2nd Generation)
Geekbench AI Score
482
Single Precision Score
444
Half Precision Score
292
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | January 25 2025 09:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10X Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.3 |
| Model | iPad Pro (12.9-inch 2nd Generation) |
| Model ID | iPad7,1 |
| Motherboard | J120AP |
| CPU Information | |
|---|---|
| Name | Apple A10X Fusion |
| Topology | 1 Processor, 3 Cores |
| Identifier | ARM |
| Base Frequency | 2.34 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 3.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
249
46.2 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.8 IPS |
|
|
Image Classification (Q)
|
96% |
116
21.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
158
2.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
1537
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1524
1.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
1087
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (Q)
|
92% |
136
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
536
6.37 IPS |
|
|
Face Detection (HP)
|
100% |
528
6.27 IPS |
|
|
Face Detection (Q)
|
100% |
211
2.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
686
5.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
625
4.82 IPS |
|
|
Depth Estimation (Q)
|
86% |
400
3.12 IPS |
|
|
Style Transfer (SP)
|
100% |
2203
2.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2190
2.82 IPS |
|
|
Style Transfer (Q)
|
96% |
1629
2.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
647
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
637
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
306
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
173
231.1 IPS |
|
|
Text Classification (HP)
|
100% |
142
189.9 IPS |
|
|
Text Classification (Q)
|
93% |
141
189.5 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.14 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
98% |
282
4.87 IPS |
