iPad Pro (12.9-inch 2nd Generation)
Geekbench AI Score
478
Single Precision Score
438
Half Precision Score
289
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 2048 |
| Upload Date | November 29 2025 11:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A10X Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.10 |
| Model | iPad Pro (12.9-inch 2nd Generation) |
| Model ID | iPad7,2 |
| Motherboard | J121AP |
| 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% |
247
46.0 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (Q)
|
96% |
116
21.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
199
3.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
157
2.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
1514
1.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1359
1.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
1003
1.18 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
92% |
136
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
533
6.33 IPS |
|
|
Face Detection (HP)
|
100% |
523
6.22 IPS |
|
|
Face Detection (Q)
|
100% |
210
2.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
681
5.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
622
4.79 IPS |
|
|
Depth Estimation (Q)
|
86% |
401
3.13 IPS |
|
|
Style Transfer (SP)
|
100% |
2202
2.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2186
2.81 IPS |
|
|
Style Transfer (Q)
|
96% |
1603
2.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
637
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
309
11.4 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.7 IPS |
|
|
Text Classification (HP)
|
100% |
143
191.4 IPS |
|
|
Text Classification (Q)
|
93% |
143
191.7 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.14 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (Q)
|
98% |
282
4.88 IPS |
