iPad Pro (11-inch)
Geekbench ML Score
1813
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 12:16 PM |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
776
145.3 IPS |
|
|
Image Classification (F16)
|
100% |
2668
499.2 IPS |
|
|
Image Classification (I8)
|
99% |
2671
499.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
245
4.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
262
4.38 IPS |
|
|
Image Segmentation (I8)
|
100% |
263
4.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
2692
3.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
24663
29.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
24783
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
854
63.7 IPS |
|
|
Object Detection (F16)
|
100% |
1155
86.3 IPS |
|
|
Object Detection (I8)
|
97% |
865
64.5 IPS |
|
|
Face Detection (F32)
|
100% |
3185
37.9 IPS |
|
|
Face Detection (F16)
|
98% |
3885
46.2 IPS |
|
|
Face Detection (I8)
|
97% |
4041
48.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2947
22.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
20933
162.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
20389
158.1 IPS |
|
|
Style Transfer (F32)
|
100% |
7779
10.2 IPS |
|
|
Style Transfer (F16)
|
100% |
8870
11.7 IPS |
|
|
Style Transfer (I8)
|
100% |
8714
11.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1476
52.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3746
133.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3785
135.2 IPS |
|
|
Text Classification (F32)
|
100% |
205
295.2 IPS |
|
|
Text Classification (F16)
|
100% |
242
348.1 IPS |
|
|
Text Classification (I8)
|
96% |
241
346.8 IPS |
|
|
Machine Translation (F32)
|
100% |
364
6.70 IPS |
|
|
Machine Translation (F16)
|
100% |
352
6.48 IPS |
|
|
Machine Translation (I8)
|
99% |
360
6.62 IPS |
