iPad Pro (10.5-inch)
Geekbench AI Score
472
Single Precision Score
441
Half Precision Score
285
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 05 2026 01:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
251
46.7 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.2 IPS |
|
|
Image Classification (Q)
|
96% |
117
21.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
159
2.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
1546
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1498
1.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
999
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
92% |
137
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
539
6.41 IPS |
|
|
Face Detection (HP)
|
100% |
530
6.30 IPS |
|
|
Face Detection (Q)
|
100% |
211
2.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
695
5.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
630
4.86 IPS |
|
|
Depth Estimation (Q)
|
86% |
406
3.17 IPS |
|
|
Style Transfer (SP)
|
100% |
2242
2.88 IPS |
|
|
Style Transfer (HP)
|
100% |
2166
2.78 IPS |
|
|
Style Transfer (Q)
|
96% |
1422
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
595
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
286
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.6 IPS |
|
|
Text Classification (HP)
|
100% |
143
191.0 IPS |
|
|
Text Classification (Q)
|
93% |
143
191.6 IPS |
|
|
Machine Translation (SP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
98% |
286
4.95 IPS |
