iPad16,3
Geekbench ML Score
9363
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:33 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 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 | 15.13 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4211
788.0 IPS |
|
|
Image Classification (F16)
|
100% |
8179
1.53 KIPS |
|
|
Image Classification (I8)
|
99% |
9082
1.70 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2041
34.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2407
40.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2381
39.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
26737
32.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
99964
121.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
101471
122.9 IPS |
|
|
Object Detection (F32)
|
100% |
3303
246.6 IPS |
|
|
Object Detection (F16)
|
100% |
6012
448.8 IPS |
|
|
Object Detection (I8)
|
97% |
3395
253.5 IPS |
|
|
Face Detection (F32)
|
100% |
11419
135.8 IPS |
|
|
Face Detection (F16)
|
97% |
14725
175.1 IPS |
|
|
Face Detection (I8)
|
96% |
14709
174.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
19731
153.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
47796
370.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
46154
357.9 IPS |
|
|
Style Transfer (F32)
|
100% |
56161
73.9 IPS |
|
|
Style Transfer (F16)
|
100% |
152425
200.5 IPS |
|
|
Style Transfer (I8)
|
100% |
154270
202.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8815
314.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20896
746.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
22052
787.5 IPS |
|
|
Text Classification (F32)
|
100% |
1325
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1446
2.08 KIPS |
|
|
Text Classification (I8)
|
96% |
1056
1.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
1080
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1808
33.3 IPS |
|
|
Machine Translation (I8)
|
99% |
911
16.8 IPS |
