iPad16,5
Geekbench ML Score
4667
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | yuyhero |
| Upload Date | May 19 2024 06:06 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 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 | 7.20 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1890
353.7 IPS |
|
|
Image Classification (F16)
|
100% |
2541
475.5 IPS |
|
|
Image Classification (I8)
|
99% |
2534
474.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1193
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1166
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1165
19.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9514
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17957
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17955
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1919
143.3 IPS |
|
|
Object Detection (F16)
|
100% |
2619
195.5 IPS |
|
|
Object Detection (I8)
|
97% |
1922
143.5 IPS |
|
|
Face Detection (F32)
|
100% |
3535
42.0 IPS |
|
|
Face Detection (F16)
|
97% |
5605
66.6 IPS |
|
|
Face Detection (I8)
|
97% |
5604
66.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7574
58.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11203
86.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11201
86.9 IPS |
|
|
Style Transfer (F32)
|
100% |
23423
30.8 IPS |
|
|
Style Transfer (F16)
|
100% |
34471
45.3 IPS |
|
|
Style Transfer (I8)
|
100% |
34580
45.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5789
206.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6775
242.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6811
243.2 IPS |
|
|
Text Classification (F32)
|
100% |
2758
3.96 KIPS |
|
|
Text Classification (F16)
|
100% |
4363
6.27 KIPS |
|
|
Text Classification (I8)
|
96% |
4373
6.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
1622
29.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1866
34.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1615
29.7 IPS |
