iPad Pro (10.5-inch)
Geekbench AI Score
462
Single Precision Score
427
Half Precision Score
279
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | January 21 2025 05:57 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10X Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.3 |
| 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% |
246
45.8 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (Q)
|
96% |
113
21.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
150
2.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
1535
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1434
1.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
962
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
92% |
127
10.1 IPS |
|
|
Face Detection (SP)
|
100% |
489
5.81 IPS |
|
|
Face Detection (HP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (Q)
|
100% |
197
2.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
614
4.73 IPS |
|
|
Depth Estimation (Q)
|
86% |
403
3.15 IPS |
|
|
Style Transfer (SP)
|
100% |
2199
2.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2197
2.82 IPS |
|
|
Style Transfer (Q)
|
96% |
1499
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
597
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
288
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.7 IPS |
|
|
Text Classification (HP)
|
100% |
140
186.3 IPS |
|
|
Text Classification (Q)
|
93% |
142
190.0 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (Q)
|
98% |
285
4.93 IPS |
