iPad14,6
Geekbench ML Score
3425
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 25 2024 08:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1482
277.4 IPS |
|
|
Image Classification (F16)
|
100% |
1856
347.3 IPS |
|
|
Image Classification (I8)
|
99% |
1864
348.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
782
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
775
12.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
781
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5905
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
13897
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13835
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1471
109.8 IPS |
|
|
Object Detection (F16)
|
100% |
1985
148.2 IPS |
|
|
Object Detection (I8)
|
97% |
1470
109.8 IPS |
|
|
Face Detection (F32)
|
100% |
2855
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
4361
51.9 IPS |
|
|
Face Detection (I8)
|
97% |
4357
51.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5230
40.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8391
65.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8406
65.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17029
22.4 IPS |
|
|
Style Transfer (F16)
|
100% |
26347
34.7 IPS |
|
|
Style Transfer (I8)
|
100% |
26462
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3733
133.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4970
177.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4998
178.5 IPS |
|
|
Text Classification (F32)
|
100% |
1996
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
2941
4.23 KIPS |
|
|
Text Classification (I8)
|
96% |
2920
4.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
1274
23.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1542
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1255
23.1 IPS |
