iPad Pro (10.5-inch)
Geekbench AI Score
398
Single Precision Score
357
Half Precision Score
231
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | March 29 2025 07:51 PM |
| Views | 3 |
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% |
220
40.9 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (Q)
|
96% |
101
18.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (Q)
|
99% |
138
2.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
1386
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
763
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
92% |
97
7.72 IPS |
|
|
Face Detection (SP)
|
100% |
433
5.14 IPS |
|
|
Face Detection (HP)
|
100% |
440
5.22 IPS |
|
|
Face Detection (Q)
|
100% |
179
2.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
597
4.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
533
4.11 IPS |
|
|
Depth Estimation (Q)
|
86% |
322
2.51 IPS |
|
|
Style Transfer (SP)
|
100% |
1796
2.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1639
2.11 IPS |
|
|
Style Transfer (Q)
|
96% |
1167
1.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
231
8.52 IPS |
|
|
Text Classification (SP)
|
100% |
136
181.9 IPS |
|
|
Text Classification (HP)
|
100% |
117
156.8 IPS |
|
|
Text Classification (Q)
|
93% |
117
156.6 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
98% |
233
4.03 IPS |
