iPad14,6
Geekbench ML Score
7340
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 04:10 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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 | 15.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3359
628.6 IPS |
|
|
Image Classification (F16)
|
100% |
6341
1.19 KIPS |
|
|
Image Classification (I8)
|
99% |
6779
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1430
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1573
26.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1581
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23415
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
82517
99.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
84666
102.5 IPS |
|
|
Object Detection (F32)
|
100% |
2796
208.7 IPS |
|
|
Object Detection (F16)
|
100% |
3720
277.7 IPS |
|
|
Object Detection (I8)
|
97% |
2557
190.9 IPS |
|
|
Face Detection (F32)
|
100% |
9253
110.0 IPS |
|
|
Face Detection (F16)
|
97% |
10541
125.3 IPS |
|
|
Face Detection (I8)
|
96% |
10636
126.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16264
126.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
36365
282.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
36169
280.5 IPS |
|
|
Style Transfer (F32)
|
100% |
39973
52.6 IPS |
|
|
Style Transfer (F16)
|
100% |
128439
169.0 IPS |
|
|
Style Transfer (I8)
|
100% |
129682
170.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9356
334.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18077
645.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18368
656.0 IPS |
|
|
Text Classification (F32)
|
100% |
1109
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
746
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
748
1.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
786
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2549
46.9 IPS |
|
|
Machine Translation (I8)
|
99% |
738
13.6 IPS |
