iPad13,18
Geekbench ML Score
1770
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 28 2024 10:44 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 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 | 3.73 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
971
181.7 IPS |
|
|
Image Classification (F16)
|
100% |
1026
191.9 IPS |
|
|
Image Classification (I8)
|
99% |
1047
195.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
526
8.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
574
9.59 IPS |
|
|
Image Segmentation (I8)
|
100% |
570
9.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
6046
7.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
6361
7.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
6202
7.51 IPS |
|
|
Object Detection (F32)
|
100% |
1109
82.8 IPS |
|
|
Object Detection (F16)
|
100% |
1144
85.4 IPS |
|
|
Object Detection (I8)
|
97% |
1045
78.0 IPS |
|
|
Face Detection (F32)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (F16)
|
98% |
3525
41.9 IPS |
|
|
Face Detection (I8)
|
97% |
3445
41.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5336
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5765
44.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
5400
41.9 IPS |
|
|
Style Transfer (F32)
|
100% |
11169
14.7 IPS |
|
|
Style Transfer (F16)
|
100% |
13095
17.2 IPS |
|
|
Style Transfer (I8)
|
100% |
13409
17.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3022
107.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2990
106.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2862
102.2 IPS |
|
|
Text Classification (F32)
|
100% |
259
372.2 IPS |
|
|
Text Classification (F16)
|
100% |
250
359.0 IPS |
|
|
Text Classification (I8)
|
96% |
214
307.2 IPS |
|
|
Machine Translation (F32)
|
100% |
480
8.83 IPS |
|
|
Machine Translation (F16)
|
100% |
485
8.93 IPS |
|
|
Machine Translation (I8)
|
99% |
480
8.83 IPS |
