iPad16,3
Geekbench ML Score
6919
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 16 2024 02:38 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 | 4.42 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4248
794.9 IPS |
|
|
Image Classification (F16)
|
100% |
4528
847.3 IPS |
|
|
Image Classification (I8)
|
99% |
4115
770.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1974
33.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2256
37.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2171
36.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
27286
33.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
29101
35.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
28286
34.3 IPS |
|
|
Object Detection (F32)
|
100% |
3701
276.3 IPS |
|
|
Object Detection (F16)
|
100% |
3965
296.0 IPS |
|
|
Object Detection (I8)
|
97% |
3486
260.2 IPS |
|
|
Face Detection (F32)
|
100% |
11529
137.1 IPS |
|
|
Face Detection (F16)
|
98% |
14327
170.4 IPS |
|
|
Face Detection (I8)
|
97% |
13755
163.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
20657
160.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
22946
177.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
21041
163.2 IPS |
|
|
Style Transfer (F32)
|
100% |
57059
75.1 IPS |
|
|
Style Transfer (F16)
|
100% |
65563
86.2 IPS |
|
|
Style Transfer (I8)
|
100% |
65143
85.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9598
342.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9693
346.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9614
343.3 IPS |
|
|
Text Classification (F32)
|
100% |
1737
2.50 KIPS |
|
|
Text Classification (F16)
|
100% |
1558
2.24 KIPS |
|
|
Text Classification (I8)
|
96% |
1282
1.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1078
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1093
20.1 IPS |
|
|
Machine Translation (I8)
|
99% |
898
16.5 IPS |
