iPad13,17
Geekbench ML Score
3475
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 08:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1552
290.4 IPS |
|
|
Image Classification (F16)
|
100% |
1589
297.4 IPS |
|
|
Image Classification (I8)
|
99% |
1607
300.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
835
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
842
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
880
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
16598
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
18097
21.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
17712
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1624
121.3 IPS |
|
|
Object Detection (F16)
|
100% |
1541
115.1 IPS |
|
|
Object Detection (I8)
|
97% |
1558
116.3 IPS |
|
|
Face Detection (F32)
|
100% |
5856
69.6 IPS |
|
|
Face Detection (F16)
|
98% |
7250
86.2 IPS |
|
|
Face Detection (I8)
|
97% |
7260
86.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12227
94.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13790
106.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
12624
97.9 IPS |
|
|
Style Transfer (F32)
|
100% |
27778
36.5 IPS |
|
|
Style Transfer (F16)
|
100% |
30999
40.8 IPS |
|
|
Style Transfer (I8)
|
100% |
31990
42.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4975
177.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5448
194.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5168
184.6 IPS |
|
|
Text Classification (F32)
|
100% |
1180
1.70 KIPS |
|
|
Text Classification (F16)
|
100% |
762
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
766
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
572
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
584
10.7 IPS |
|
|
Machine Translation (I8)
|
99% |
572
10.5 IPS |
