iPad16,5
Geekbench ML Score
6796
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 19 2024 03:10 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 15.05 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4156
777.7 IPS |
|
|
Image Classification (F16)
|
100% |
4473
837.0 IPS |
|
|
Image Classification (I8)
|
99% |
4113
769.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1987
33.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2270
37.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2249
37.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
27047
32.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
28955
35.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
28136
34.1 IPS |
|
|
Object Detection (F32)
|
100% |
3768
281.3 IPS |
|
|
Object Detection (F16)
|
100% |
3941
294.2 IPS |
|
|
Object Detection (I8)
|
97% |
3409
254.5 IPS |
|
|
Face Detection (F32)
|
100% |
11363
135.1 IPS |
|
|
Face Detection (F16)
|
98% |
14164
168.4 IPS |
|
|
Face Detection (I8)
|
97% |
13643
162.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
19892
154.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
21878
169.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
20050
155.5 IPS |
|
|
Style Transfer (F32)
|
100% |
54255
71.4 IPS |
|
|
Style Transfer (F16)
|
100% |
65348
86.0 IPS |
|
|
Style Transfer (I8)
|
100% |
64938
85.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8244
294.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9365
334.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8862
316.5 IPS |
|
|
Text Classification (F32)
|
100% |
1499
2.15 KIPS |
|
|
Text Classification (F16)
|
100% |
1517
2.18 KIPS |
|
|
Text Classification (I8)
|
96% |
1221
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
1187
21.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1172
21.6 IPS |
|
|
Machine Translation (I8)
|
99% |
924
17.0 IPS |
