iPad14,10
Geekbench ML Score
3923
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 19 2024 06:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,10 |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1382
258.7 IPS |
|
|
Image Classification (F16)
|
100% |
2500
467.9 IPS |
|
|
Image Classification (I8)
|
99% |
2521
471.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
907
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1174
19.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1153
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6584
7.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
14343
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14210
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1435
107.1 IPS |
|
|
Object Detection (F16)
|
100% |
2446
182.6 IPS |
|
|
Object Detection (I8)
|
97% |
1438
107.4 IPS |
|
|
Face Detection (F32)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (F16)
|
97% |
5929
70.5 IPS |
|
|
Face Detection (I8)
|
97% |
5881
69.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5620
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11572
89.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11572
89.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18327
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27884
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
28133
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4283
152.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5160
184.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5078
181.4 IPS |
|
|
Text Classification (F32)
|
100% |
2051
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3337
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3377
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1358
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1605
29.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1367
25.2 IPS |
