iPad13,17
Geekbench ML Score
3337
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 22 2024 07:56 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1768
330.9 IPS |
|
|
Image Classification (F16)
|
100% |
1125
210.5 IPS |
|
|
Image Classification (I8)
|
99% |
1165
217.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
830
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
860
14.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
859
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
16032
19.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
17494
21.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
17556
21.3 IPS |
|
|
Object Detection (F32)
|
100% |
1452
108.4 IPS |
|
|
Object Detection (F16)
|
100% |
1509
112.6 IPS |
|
|
Object Detection (I8)
|
97% |
1480
110.5 IPS |
|
|
Face Detection (F32)
|
100% |
6085
72.4 IPS |
|
|
Face Detection (F16)
|
97% |
7209
85.7 IPS |
|
|
Face Detection (I8)
|
96% |
7285
86.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
11997
93.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
13525
104.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
12379
96.0 IPS |
|
|
Style Transfer (F32)
|
100% |
27176
35.7 IPS |
|
|
Style Transfer (F16)
|
100% |
32969
43.4 IPS |
|
|
Style Transfer (I8)
|
100% |
33501
44.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4617
164.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4772
170.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4663
166.5 IPS |
|
|
Text Classification (F32)
|
100% |
1176
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
755
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
761
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
556
10.2 IPS |
|
|
Machine Translation (F16)
|
100% |
567
10.4 IPS |
|
|
Machine Translation (I8)
|
99% |
526
9.69 IPS |
