iPad14,6
Geekbench ML Score
5916
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 13 2024 02:05 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3370
630.6 IPS |
|
|
Image Classification (F16)
|
100% |
3371
630.8 IPS |
|
|
Image Classification (I8)
|
99% |
3013
563.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1422
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1517
25.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1516
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23582
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
25138
30.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
24341
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
2845
212.4 IPS |
|
|
Object Detection (F16)
|
100% |
2907
217.0 IPS |
|
|
Object Detection (I8)
|
97% |
2651
197.9 IPS |
|
|
Face Detection (F32)
|
100% |
8893
105.7 IPS |
|
|
Face Detection (F16)
|
98% |
10043
119.4 IPS |
|
|
Face Detection (I8)
|
97% |
9832
116.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16369
126.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17428
135.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
15748
122.1 IPS |
|
|
Style Transfer (F32)
|
100% |
38761
51.0 IPS |
|
|
Style Transfer (F16)
|
100% |
42392
55.8 IPS |
|
|
Style Transfer (I8)
|
100% |
45898
60.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9578
342.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10412
371.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9820
350.7 IPS |
|
|
Text Classification (F32)
|
100% |
2026
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3480
5.00 KIPS |
|
|
Text Classification (I8)
|
96% |
3436
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
853
15.7 IPS |
|
|
Machine Translation (F16)
|
100% |
862
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
788
14.5 IPS |
