iPad Pro (10.5-inch)
Geekbench AI Score
330
Single Precision Score
299
Half Precision Score
193
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 09:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A10X Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| Model | iPad Pro (10.5-inch) |
| Model ID | iPad7,4 |
| Motherboard | J208AP |
| 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% |
228
42.4 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.9 IPS |
|
|
Image Classification (Q)
|
96% |
91
17.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
137
2.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
129
2.08 IPS |
|
|
Image Segmentation (Q)
|
99% |
102
1.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
1036
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1033
1.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
726
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
92% |
88
7.04 IPS |
|
|
Face Detection (SP)
|
100% |
373
4.43 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
100% |
143
1.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
466
3.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
386
2.97 IPS |
|
|
Depth Estimation (Q)
|
86% |
251
1.96 IPS |
|
|
Style Transfer (SP)
|
100% |
1351
1.74 IPS |
|
|
Style Transfer (HP)
|
100% |
1342
1.73 IPS |
|
|
Style Transfer (Q)
|
96% |
1002
1.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
190
7.00 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.1 IPS |
|
|
Text Classification (HP)
|
100% |
96
128.3 IPS |
|
|
Text Classification (Q)
|
93% |
95
128.0 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (HP)
|
100% |
196
3.37 IPS |
|
|
Machine Translation (Q)
|
98% |
195
3.37 IPS |
