iPad Pro (10.5-inch)
Geekbench AI Score
412
Single Precision Score
369
Half Precision Score
241
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | March 29 2025 08:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10X Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.6 |
| Model | iPad Pro (10.5-inch) |
| Model ID | iPad7,3 |
| Motherboard | J207AP |
| 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 | 3.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
237
44.2 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
96% |
114
21.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (Q)
|
99% |
134
2.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
1313
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
763
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
92% |
103
8.23 IPS |
|
|
Face Detection (SP)
|
100% |
462
5.49 IPS |
|
|
Face Detection (HP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (Q)
|
100% |
182
2.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
613
4.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
543
4.18 IPS |
|
|
Depth Estimation (Q)
|
86% |
343
2.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1889
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
1685
2.17 IPS |
|
|
Style Transfer (Q)
|
96% |
1197
1.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
505
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
238
8.78 IPS |
|
|
Text Classification (SP)
|
100% |
142
188.9 IPS |
|
|
Text Classification (HP)
|
100% |
120
160.1 IPS |
|
|
Text Classification (Q)
|
93% |
122
163.3 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
98% |
255
4.40 IPS |
