iPad14,10
Geekbench ML Score
6749
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 16 2024 09:18 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,10 |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2913
545.1 IPS |
|
|
Image Classification (F16)
|
100% |
10797
2.02 KIPS |
|
|
Image Classification (I8)
|
99% |
11983
2.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1349
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1792
29.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1605
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
21553
26.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
89756
108.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
97577
118.2 IPS |
|
|
Object Detection (F32)
|
100% |
1947
145.3 IPS |
|
|
Object Detection (F16)
|
100% |
5160
385.2 IPS |
|
|
Object Detection (I8)
|
97% |
2488
185.8 IPS |
|
|
Face Detection (F32)
|
100% |
8537
101.5 IPS |
|
|
Face Detection (F16)
|
97% |
17276
205.4 IPS |
|
|
Face Detection (I8)
|
96% |
19023
226.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15223
118.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
61462
476.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
69600
539.7 IPS |
|
|
Style Transfer (F32)
|
100% |
37532
49.4 IPS |
|
|
Style Transfer (F16)
|
100% |
145102
190.9 IPS |
|
|
Style Transfer (I8)
|
100% |
145521
191.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7938
283.5 IPS |
|
|
Image Super-Resolution (F16)
|
0
|
||
|
Image Super-Resolution (I8)
|
100% |
33600
1.20 KIPS |
|
|
Text Classification (F32)
|
100% |
2062
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3394
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3433
4.93 KIPS |
|
|
Machine Translation (F32)
|
4% |
812
14.9 IPS |
|
|
Machine Translation (F16)
|
4% |
1970
36.3 IPS |
|
|
Machine Translation (I8)
|
4% |
736
13.5 IPS |
