iPad Pro (10.5-inch)
Geekbench AI Score
476
Single Precision Score
438
Half Precision Score
285
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | voronczoff |
| Upload Date | June 03 2025 05:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
250
46.6 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
96% |
117
21.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
159
2.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
1553
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1452
1.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
949
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (Q)
|
92% |
137
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
540
6.42 IPS |
|
|
Face Detection (HP)
|
100% |
534
6.35 IPS |
|
|
Face Detection (Q)
|
100% |
211
2.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
695
5.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
631
4.86 IPS |
|
|
Depth Estimation (Q)
|
86% |
406
3.17 IPS |
|
|
Style Transfer (SP)
|
100% |
2244
2.88 IPS |
|
|
Style Transfer (HP)
|
100% |
2153
2.77 IPS |
|
|
Style Transfer (Q)
|
96% |
1470
1.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
608
22.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
604
22.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
287
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.3 IPS |
|
|
Text Classification (HP)
|
100% |
140
187.4 IPS |
|
|
Text Classification (Q)
|
93% |
143
192.4 IPS |
|
|
Machine Translation (SP)
|
100% |
360
6.21 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (Q)
|
98% |
286
4.94 IPS |
