iPad Pro (10.5-inch)
Geekbench AI Score
246
Single Precision Score
226
Half Precision Score
167
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 09:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10X Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.9 |
| 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% |
153
28.5 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (Q)
|
96% |
87
16.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
125
2.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
101
1.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
668
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
603
0.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
504
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
122
9.72 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.48 IPS |
|
|
Object Detection (Q)
|
92% |
80
6.37 IPS |
|
|
Face Detection (SP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.44 IPS |
|
|
Face Detection (Q)
|
100% |
136
1.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
359
2.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
284
2.19 IPS |
|
|
Depth Estimation (Q)
|
86% |
219
1.71 IPS |
|
|
Style Transfer (SP)
|
100% |
902
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
903
1.16 IPS |
|
|
Style Transfer (Q)
|
96% |
757
0.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
252
9.32 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
156
5.74 IPS |
|
|
Text Classification (SP)
|
100% |
93
123.5 IPS |
|
|
Text Classification (HP)
|
100% |
89
119.1 IPS |
|
|
Text Classification (Q)
|
93% |
86
115.8 IPS |
|
|
Machine Translation (SP)
|
100% |
215
3.70 IPS |
|
|
Machine Translation (HP)
|
100% |
172
2.96 IPS |
|
|
Machine Translation (Q)
|
98% |
163
2.82 IPS |
