iPad16,3
Geekbench ML Score
9234
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 07 2024 10:14 PM |
| Views | 3535 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 3.93 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 | 15.14 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3950
739.2 IPS |
|
|
Image Classification (F16)
|
100% |
7424
1.39 KIPS |
|
|
Image Classification (I8)
|
99% |
8973
1.68 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1896
31.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2204
36.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2165
36.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
26843
32.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
97350
117.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
100269
121.4 IPS |
|
|
Object Detection (F32)
|
100% |
3542
264.4 IPS |
|
|
Object Detection (F16)
|
100% |
5063
378.0 IPS |
|
|
Object Detection (I8)
|
97% |
3257
243.2 IPS |
|
|
Face Detection (F32)
|
100% |
10892
129.5 IPS |
|
|
Face Detection (F16)
|
97% |
15419
183.3 IPS |
|
|
Face Detection (I8)
|
96% |
15578
185.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
19719
152.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
40667
315.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
39675
307.7 IPS |
|
|
Style Transfer (F32)
|
100% |
54891
72.2 IPS |
|
|
Style Transfer (F16)
|
100% |
122997
161.8 IPS |
|
|
Style Transfer (I8)
|
100% |
119723
157.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9097
324.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21271
759.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20973
749.0 IPS |
|
|
Text Classification (F32)
|
100% |
1489
2.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3574
5.14 KIPS |
|
|
Text Classification (I8)
|
96% |
884
1.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
1033
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2193
40.4 IPS |
|
|
Machine Translation (I8)
|
99% |
864
15.9 IPS |
