iPad16,5
Geekbench ML Score
10219
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | seanzxx |
| Upload Date | July 02 2024 09:37 AM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 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 | 15.07 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4070
761.6 IPS |
|
|
Image Classification (F16)
|
100% |
9422
1.76 KIPS |
|
|
Image Classification (I8)
|
99% |
10618
1.99 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1951
32.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2276
38.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2233
37.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
26629
32.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
103377
125.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
102692
124.4 IPS |
|
|
Object Detection (F32)
|
100% |
2554
190.7 IPS |
|
|
Object Detection (F16)
|
100% |
6552
489.1 IPS |
|
|
Object Detection (I8)
|
97% |
3346
249.8 IPS |
|
|
Face Detection (F32)
|
100% |
11147
132.5 IPS |
|
|
Face Detection (F16)
|
97% |
16774
199.4 IPS |
|
|
Face Detection (I8)
|
96% |
15930
189.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
20800
161.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
62622
485.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
65595
508.7 IPS |
|
|
Style Transfer (F32)
|
100% |
55140
72.5 IPS |
|
|
Style Transfer (F16)
|
100% |
147480
194.0 IPS |
|
|
Style Transfer (I8)
|
100% |
146907
193.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12161
434.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23923
854.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
24090
860.3 IPS |
|
|
Text Classification (F32)
|
100% |
1461
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
5442
7.82 KIPS |
|
|
Text Classification (I8)
|
96% |
844
1.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
1002
18.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2247
41.4 IPS |
|
|
Machine Translation (I8)
|
99% |
933
17.2 IPS |
