iPad16,6
Geekbench ML Score
8867
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 08:38 AM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 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 | 15.05 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4341
812.3 IPS |
|
|
Image Classification (F16)
|
100% |
6559
1.23 KIPS |
|
|
Image Classification (I8)
|
99% |
9217
1.72 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1921
32.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2198
36.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2245
37.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
27297
33.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
89792
108.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
95363
115.5 IPS |
|
|
Object Detection (F32)
|
100% |
3774
281.7 IPS |
|
|
Object Detection (F16)
|
100% |
4623
345.1 IPS |
|
|
Object Detection (I8)
|
97% |
3484
260.1 IPS |
|
|
Face Detection (F32)
|
100% |
11421
135.8 IPS |
|
|
Face Detection (F16)
|
97% |
12552
149.3 IPS |
|
|
Face Detection (I8)
|
96% |
13238
157.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
20275
157.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
43359
336.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
39742
308.2 IPS |
|
|
Style Transfer (F32)
|
100% |
55564
73.1 IPS |
|
|
Style Transfer (F16)
|
100% |
103401
136.0 IPS |
|
|
Style Transfer (I8)
|
100% |
105250
138.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8848
316.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20863
745.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19858
709.2 IPS |
|
|
Text Classification (F32)
|
100% |
1562
2.24 KIPS |
|
|
Text Classification (F16)
|
100% |
1599
2.30 KIPS |
|
|
Text Classification (I8)
|
96% |
1077
1.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
1174
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1806
33.2 IPS |
|
|
Machine Translation (I8)
|
99% |
916
16.8 IPS |
