iPad16,5
Geekbench ML Score
6750
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 17 2024 04:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 15.05 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4218
789.2 IPS |
|
|
Image Classification (F16)
|
100% |
4454
833.4 IPS |
|
|
Image Classification (I8)
|
99% |
4095
766.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2001
33.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2268
37.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2223
37.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
26869
32.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
28918
35.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
28084
34.0 IPS |
|
|
Object Detection (F32)
|
100% |
3305
246.8 IPS |
|
|
Object Detection (F16)
|
100% |
3930
293.4 IPS |
|
|
Object Detection (I8)
|
97% |
3361
251.0 IPS |
|
|
Face Detection (F32)
|
100% |
11431
135.9 IPS |
|
|
Face Detection (F16)
|
98% |
14127
168.0 IPS |
|
|
Face Detection (I8)
|
97% |
13743
163.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
19640
152.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
22059
171.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
20072
155.7 IPS |
|
|
Style Transfer (F32)
|
100% |
55295
72.7 IPS |
|
|
Style Transfer (F16)
|
100% |
65353
86.0 IPS |
|
|
Style Transfer (I8)
|
100% |
64843
85.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9192
328.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9271
331.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8565
305.9 IPS |
|
|
Text Classification (F32)
|
100% |
1394
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1535
2.21 KIPS |
|
|
Text Classification (I8)
|
96% |
1226
1.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
1130
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1146
21.1 IPS |
|
|
Machine Translation (I8)
|
99% |
916
16.9 IPS |
