iPad14,8
Geekbench ML Score
4678
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 06:00 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
2812
526.3 IPS |
|
|
Image Classification (F16)
|
100% |
2902
543.1 IPS |
|
|
Image Classification (I8)
|
99% |
2614
489.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1394
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1439
24.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1415
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
21220
25.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
22768
27.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
22127
26.8 IPS |
|
|
Object Detection (F32)
|
100% |
2695
201.2 IPS |
|
|
Object Detection (F16)
|
100% |
2647
197.6 IPS |
|
|
Object Detection (I8)
|
97% |
2487
185.6 IPS |
|
|
Face Detection (F32)
|
100% |
8877
105.5 IPS |
|
|
Face Detection (F16)
|
98% |
9922
118.0 IPS |
|
|
Face Detection (I8)
|
97% |
9493
112.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15279
118.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
16226
125.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
14760
114.5 IPS |
|
|
Style Transfer (F32)
|
100% |
37243
49.0 IPS |
|
|
Style Transfer (F16)
|
100% |
42805
56.3 IPS |
|
|
Style Transfer (I8)
|
100% |
42610
56.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6456
230.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6777
242.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6454
230.5 IPS |
|
|
Text Classification (F32)
|
100% |
1137
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
764
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
764
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
674
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
665
12.2 IPS |
|
|
Machine Translation (I8)
|
99% |
631
11.6 IPS |
