iPad13,17
Geekbench ML Score
7029
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 08:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1560
291.9 IPS |
|
|
Image Classification (F16)
|
100% |
6127
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6171
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
862
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3950
66.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
3948
65.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
16093
19.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
62024
75.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
63028
76.3 IPS |
|
|
Object Detection (F32)
|
100% |
1538
114.8 IPS |
|
|
Object Detection (F16)
|
100% |
4291
320.4 IPS |
|
|
Object Detection (I8)
|
97% |
1564
116.7 IPS |
|
|
Face Detection (F32)
|
100% |
6054
72.0 IPS |
|
|
Face Detection (F16)
|
97% |
11625
138.2 IPS |
|
|
Face Detection (I8)
|
96% |
11609
138.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12142
94.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
41844
324.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
43196
335.0 IPS |
|
|
Style Transfer (F32)
|
100% |
27723
36.5 IPS |
|
|
Style Transfer (F16)
|
100% |
111941
147.2 IPS |
|
|
Style Transfer (I8)
|
100% |
118010
155.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4741
169.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18237
651.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18322
654.4 IPS |
|
|
Text Classification (F32)
|
100% |
1174
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
2415
3.47 KIPS |
|
|
Text Classification (I8)
|
96% |
2865
4.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
575
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1761
32.4 IPS |
|
|
Machine Translation (I8)
|
99% |
580
10.7 IPS |
