iPad14,10
Geekbench ML Score
9714
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% |
2583
483.4 IPS |
|
|
Image Classification (F16)
|
100% |
10498
1.96 KIPS |
|
|
Image Classification (I8)
|
99% |
12959
2.43 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1370
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1786
29.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1781
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
20979
25.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
93064
112.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
92105
111.5 IPS |
|
|
Object Detection (F32)
|
100% |
2164
161.6 IPS |
|
|
Object Detection (F16)
|
100% |
6202
463.0 IPS |
|
|
Object Detection (I8)
|
97% |
2499
186.5 IPS |
|
|
Face Detection (F32)
|
100% |
8511
101.2 IPS |
|
|
Face Detection (F16)
|
97% |
19338
229.9 IPS |
|
|
Face Detection (I8)
|
96% |
19145
227.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15616
121.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
66393
514.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
69316
537.5 IPS |
|
|
Style Transfer (F32)
|
100% |
37186
48.9 IPS |
|
|
Style Transfer (F16)
|
100% |
139193
183.1 IPS |
|
|
Style Transfer (I8)
|
100% |
151162
198.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8101
289.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32588
1.16 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34176
1.22 KIPS |
|
|
Text Classification (F32)
|
100% |
2067
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3433
4.93 KIPS |
|
|
Text Classification (I8)
|
96% |
3450
4.96 KIPS |
|
|
Machine Translation (F32)
|
4% |
812
14.9 IPS |
|
|
Machine Translation (F16)
|
4% |
1942
35.7 IPS |
|
|
Machine Translation (I8)
|
4% |
736
13.6 IPS |
