iPad14,4
Geekbench ML Score
5121
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | imaginebox |
| Upload Date | January 20 2024 08:06 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 15.34 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3419
639.8 IPS |
|
|
Image Classification (F16)
|
100% |
3380
632.6 IPS |
|
|
Image Classification (I8)
|
99% |
2982
558.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1423
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1508
25.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1500
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23507
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
24923
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
24675
29.9 IPS |
|
|
Object Detection (F32)
|
100% |
2828
211.1 IPS |
|
|
Object Detection (F16)
|
100% |
2809
209.7 IPS |
|
|
Object Detection (I8)
|
97% |
2551
190.4 IPS |
|
|
Face Detection (F32)
|
100% |
9436
112.2 IPS |
|
|
Face Detection (F16)
|
97% |
10345
123.0 IPS |
|
|
Face Detection (I8)
|
96% |
9905
117.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16249
126.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17260
133.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
15784
122.4 IPS |
|
|
Style Transfer (F32)
|
100% |
38558
50.7 IPS |
|
|
Style Transfer (F16)
|
100% |
42530
55.9 IPS |
|
|
Style Transfer (I8)
|
100% |
46607
61.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9443
337.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9023
322.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7279
260.0 IPS |
|
|
Text Classification (F32)
|
100% |
1132
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
761
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
758
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
786
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
793
14.6 IPS |
|
|
Machine Translation (I8)
|
99% |
715
13.2 IPS |
