iPad Pro (10.5-inch)
Geekbench ML Score
336
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 09 2025 04:07 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6.1 |
| 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 |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.91 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
177
33.0 IPS |
|
|
Image Classification (F16)
|
100% |
156
29.2 IPS |
|
|
Image Classification (I8)
|
99% |
156
29.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
139
2.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
137
2.29 IPS |
|
|
Image Segmentation (I8)
|
100% |
137
2.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
1095
1.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
1093
1.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
1042
1.26 IPS |
|
|
Object Detection (F32)
|
100% |
202
15.1 IPS |
|
|
Object Detection (F16)
|
100% |
179
13.4 IPS |
|
|
Object Detection (I8)
|
97% |
203
15.1 IPS |
|
|
Face Detection (F32)
|
100% |
403
4.79 IPS |
|
|
Face Detection (F16)
|
100% |
399
4.75 IPS |
|
|
Face Detection (I8)
|
99% |
404
4.80 IPS |
|
|
Depth Estimation (F32)
|
100% |
505
3.91 IPS |
|
|
Depth Estimation (F16)
|
100% |
454
3.52 IPS |
|
|
Depth Estimation (I8)
|
99% |
460
3.56 IPS |
|
|
Style Transfer (F32)
|
100% |
1566
2.06 IPS |
|
|
Style Transfer (F16)
|
100% |
1539
2.03 IPS |
|
|
Style Transfer (I8)
|
100% |
1494
1.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
474
16.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
480
17.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
476
17.0 IPS |
|
|
Text Classification (F32)
|
100% |
118
169.9 IPS |
|
|
Text Classification (F16)
|
100% |
100
143.2 IPS |
|
|
Text Classification (I8)
|
96% |
101
144.7 IPS |
|
|
Machine Translation (F32)
|
100% |
295
5.42 IPS |
|
|
Machine Translation (F16)
|
100% |
230
4.24 IPS |
|
|
Machine Translation (I8)
|
99% |
283
5.21 IPS |
