iPad14,6
Geekbench ML Score
5197
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 02 2024 05:54 AM |
| Views | 21 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3372
630.9 IPS |
|
|
Image Classification (F16)
|
100% |
3395
635.3 IPS |
|
|
Image Classification (I8)
|
99% |
3019
565.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1433
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1552
25.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1529
25.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23509
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
24995
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24461
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
2823
210.8 IPS |
|
|
Object Detection (F16)
|
100% |
2837
211.8 IPS |
|
|
Object Detection (I8)
|
97% |
2594
193.7 IPS |
|
|
Face Detection (F32)
|
100% |
9323
110.8 IPS |
|
|
Face Detection (F16)
|
98% |
10558
125.5 IPS |
|
|
Face Detection (I8)
|
97% |
10078
119.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16409
127.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17416
135.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
15951
123.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40344
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
42976
56.5 IPS |
|
|
Style Transfer (I8)
|
100% |
43425
57.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9599
342.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8659
309.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9630
343.9 IPS |
|
|
Text Classification (F32)
|
100% |
1131
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
761
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
763
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
794
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
802
14.8 IPS |
|
|
Machine Translation (I8)
|
99% |
746
13.7 IPS |
