iPad16,6
Geekbench ML Score
6688
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 15 2024 03:22 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 15.05 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4236
792.6 IPS |
|
|
Image Classification (F16)
|
100% |
4457
834.0 IPS |
|
|
Image Classification (I8)
|
99% |
4099
767.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1994
33.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2247
37.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2204
36.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
26791
32.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
28555
34.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
27993
33.9 IPS |
|
|
Object Detection (F32)
|
100% |
3262
243.5 IPS |
|
|
Object Detection (F16)
|
100% |
3835
286.3 IPS |
|
|
Object Detection (I8)
|
97% |
3380
252.4 IPS |
|
|
Face Detection (F32)
|
100% |
11388
135.4 IPS |
|
|
Face Detection (F16)
|
98% |
14208
168.9 IPS |
|
|
Face Detection (I8)
|
97% |
13617
161.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
19847
153.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
21730
168.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
20064
155.6 IPS |
|
|
Style Transfer (F32)
|
100% |
54344
71.5 IPS |
|
|
Style Transfer (F16)
|
100% |
65744
86.5 IPS |
|
|
Style Transfer (I8)
|
100% |
64825
85.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8656
309.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8822
315.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8711
311.1 IPS |
|
|
Text Classification (F32)
|
100% |
1321
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1400
2.01 KIPS |
|
|
Text Classification (I8)
|
96% |
1208
1.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
1189
21.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1167
21.5 IPS |
|
|
Machine Translation (I8)
|
99% |
911
16.8 IPS |
