iPad16,3
Geekbench ML Score
9495
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 02:24 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 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 | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4222
790.1 IPS |
|
|
Image Classification (F16)
|
100% |
8482
1.59 KIPS |
|
|
Image Classification (I8)
|
99% |
9128
1.71 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2019
33.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2377
39.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2427
40.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
27144
32.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
99633
120.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
100863
122.1 IPS |
|
|
Object Detection (F32)
|
100% |
3723
278.0 IPS |
|
|
Object Detection (F16)
|
100% |
6138
458.2 IPS |
|
|
Object Detection (I8)
|
97% |
3417
255.1 IPS |
|
|
Face Detection (F32)
|
100% |
11528
137.1 IPS |
|
|
Face Detection (F16)
|
97% |
13757
163.6 IPS |
|
|
Face Detection (I8)
|
96% |
13978
166.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
19872
154.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
44502
345.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
48293
374.5 IPS |
|
|
Style Transfer (F32)
|
100% |
55020
72.4 IPS |
|
|
Style Transfer (F16)
|
100% |
155417
204.4 IPS |
|
|
Style Transfer (I8)
|
100% |
156480
205.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8785
313.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21460
766.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21687
774.5 IPS |
|
|
Text Classification (F32)
|
100% |
1557
2.24 KIPS |
|
|
Text Classification (F16)
|
100% |
1441
2.07 KIPS |
|
|
Text Classification (I8)
|
96% |
1080
1.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
1173
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1910
35.1 IPS |
|
|
Machine Translation (I8)
|
99% |
928
17.1 IPS |
