iPad13,17
Geekbench ML Score
3010
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 08:04 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1285
240.5 IPS |
|
|
Image Classification (F16)
|
100% |
1678
314.0 IPS |
|
|
Image Classification (I8)
|
99% |
1676
313.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
621
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
617
10.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
617
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5629
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
12956
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12948
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1271
94.9 IPS |
|
|
Object Detection (F16)
|
100% |
1751
130.7 IPS |
|
|
Object Detection (I8)
|
97% |
1269
94.7 IPS |
|
|
Face Detection (F32)
|
100% |
2372
28.2 IPS |
|
|
Face Detection (F16)
|
97% |
3996
47.5 IPS |
|
|
Face Detection (I8)
|
97% |
3991
47.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5198
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8118
63.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8123
63.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15608
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
24491
32.2 IPS |
|
|
Style Transfer (I8)
|
100% |
24305
32.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3491
124.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4696
167.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4702
167.9 IPS |
|
|
Text Classification (F32)
|
100% |
2064
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3365
4.84 KIPS |
|
|
Text Classification (I8)
|
96% |
3385
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
736
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
862
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
723
13.3 IPS |
