iPad16,4
Geekbench ML Score
9377
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 26 2024 05:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
4186
783.4 IPS |
|
|
Image Classification (F16)
|
100% |
8419
1.58 KIPS |
|
|
Image Classification (I8)
|
99% |
8780
1.64 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1974
33.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2394
40.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2369
39.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
27229
33.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
100566
121.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
100239
121.4 IPS |
|
|
Object Detection (F32)
|
100% |
3751
280.0 IPS |
|
|
Object Detection (F16)
|
100% |
5382
401.8 IPS |
|
|
Object Detection (I8)
|
97% |
3427
255.8 IPS |
|
|
Face Detection (F32)
|
100% |
11566
137.5 IPS |
|
|
Face Detection (F16)
|
97% |
13787
163.9 IPS |
|
|
Face Detection (I8)
|
96% |
13946
165.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
20593
159.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
49331
382.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
45443
352.4 IPS |
|
|
Style Transfer (F32)
|
100% |
55291
72.7 IPS |
|
|
Style Transfer (F16)
|
100% |
150989
198.6 IPS |
|
|
Style Transfer (I8)
|
100% |
155621
204.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9105
325.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21914
782.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21743
776.5 IPS |
|
|
Text Classification (F32)
|
100% |
1445
2.08 KIPS |
|
|
Text Classification (F16)
|
100% |
1439
2.07 KIPS |
|
|
Text Classification (I8)
|
96% |
1005
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
1103
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1834
33.8 IPS |
|
|
Machine Translation (I8)
|
99% |
905
16.7 IPS |
