iPad Pro (10.5-inch)
Geekbench AI Score
477
Single Precision Score
436
Half Precision Score
285
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 05 2026 01:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10X Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.10 |
| 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% |
250
46.4 IPS |
|
|
Image Classification (HP)
|
100% |
220
41.0 IPS |
|
|
Image Classification (Q)
|
96% |
117
21.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
159
2.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
1549
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1410
1.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
969
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (Q)
|
92% |
137
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
541
6.43 IPS |
|
|
Face Detection (HP)
|
100% |
530
6.30 IPS |
|
|
Face Detection (Q)
|
100% |
211
2.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
694
5.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
628
4.84 IPS |
|
|
Depth Estimation (Q)
|
86% |
406
3.17 IPS |
|
|
Style Transfer (SP)
|
100% |
2238
2.88 IPS |
|
|
Style Transfer (HP)
|
100% |
2128
2.74 IPS |
|
|
Style Transfer (Q)
|
96% |
1466
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
606
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
290
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.1 IPS |
|
|
Text Classification (HP)
|
100% |
143
191.4 IPS |
|
|
Text Classification (Q)
|
93% |
142
191.0 IPS |
|
|
Machine Translation (SP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (Q)
|
98% |
285
4.93 IPS |
