iPad Pro (11-inch)
Geekbench ML Score
1278
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 27 2024 01:27 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,1 |
| Motherboard | J317AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
725
135.7 IPS |
|
|
Image Classification (F16)
|
100% |
1013
189.6 IPS |
|
|
Image Classification (I8)
|
99% |
1085
203.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
243
4.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
256
4.27 IPS |
|
|
Image Segmentation (I8)
|
100% |
255
4.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
2659
3.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
3751
4.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
3760
4.55 IPS |
|
|
Object Detection (F32)
|
100% |
846
63.2 IPS |
|
|
Object Detection (F16)
|
100% |
1088
81.2 IPS |
|
|
Object Detection (I8)
|
97% |
844
63.0 IPS |
|
|
Face Detection (F32)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (F16)
|
98% |
3657
43.5 IPS |
|
|
Face Detection (I8)
|
97% |
3703
44.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2993
23.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4149
32.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
4213
32.7 IPS |
|
|
Style Transfer (F32)
|
100% |
7548
9.93 IPS |
|
|
Style Transfer (F16)
|
100% |
9247
12.2 IPS |
|
|
Style Transfer (I8)
|
100% |
9222
12.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1546
55.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1948
69.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2023
72.3 IPS |
|
|
Text Classification (F32)
|
100% |
195
280.7 IPS |
|
|
Text Classification (F16)
|
100% |
237
340.9 IPS |
|
|
Text Classification (I8)
|
96% |
235
338.2 IPS |
|
|
Machine Translation (F32)
|
100% |
359
6.61 IPS |
|
|
Machine Translation (F16)
|
100% |
351
6.47 IPS |
|
|
Machine Translation (I8)
|
99% |
359
6.60 IPS |
