iPad14,8
Geekbench ML Score
5265
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 09:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2849
533.1 IPS |
|
|
Image Classification (F16)
|
100% |
2875
537.9 IPS |
|
|
Image Classification (I8)
|
99% |
2559
478.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1377
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1465
24.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1428
23.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
21268
25.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
22664
27.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
21866
26.5 IPS |
|
|
Object Detection (F32)
|
100% |
2682
200.2 IPS |
|
|
Object Detection (F16)
|
100% |
2619
195.5 IPS |
|
|
Object Detection (I8)
|
97% |
2464
184.0 IPS |
|
|
Face Detection (F32)
|
100% |
8573
101.9 IPS |
|
|
Face Detection (F16)
|
98% |
9447
112.3 IPS |
|
|
Face Detection (I8)
|
97% |
9256
110.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15296
118.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
16182
125.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
14524
112.6 IPS |
|
|
Style Transfer (F32)
|
100% |
37173
48.9 IPS |
|
|
Style Transfer (F16)
|
100% |
42876
56.4 IPS |
|
|
Style Transfer (I8)
|
100% |
42613
56.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6946
248.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6815
243.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6419
229.2 IPS |
|
|
Text Classification (F32)
|
100% |
2006
2.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3317
4.77 KIPS |
|
|
Text Classification (I8)
|
96% |
3319
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
789
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
763
14.0 IPS |
|
|
Machine Translation (I8)
|
99% |
541
9.96 IPS |
