iPad14,4
Geekbench ML Score
7547
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 11 2024 06:21 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3409
638.0 IPS |
|
|
Image Classification (F16)
|
100% |
6577
1.23 KIPS |
|
|
Image Classification (I8)
|
99% |
6991
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1449
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1579
26.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1595
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22384
27.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
83171
100.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
84543
102.4 IPS |
|
|
Object Detection (F32)
|
100% |
2806
209.5 IPS |
|
|
Object Detection (F16)
|
100% |
3892
290.6 IPS |
|
|
Object Detection (I8)
|
97% |
2522
188.3 IPS |
|
|
Face Detection (F32)
|
100% |
9439
112.2 IPS |
|
|
Face Detection (F16)
|
97% |
14198
168.8 IPS |
|
|
Face Detection (I8)
|
96% |
14234
169.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16088
124.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
39048
302.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
37233
288.7 IPS |
|
|
Style Transfer (F32)
|
100% |
39402
51.8 IPS |
|
|
Style Transfer (F16)
|
100% |
134952
177.5 IPS |
|
|
Style Transfer (I8)
|
100% |
134787
177.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9459
337.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17114
611.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18504
660.8 IPS |
|
|
Text Classification (F32)
|
100% |
1134
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
763
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
762
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
783
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2461
45.3 IPS |
|
|
Machine Translation (I8)
|
99% |
715
13.2 IPS |
