iPhone X
Geekbench ML Score
258
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone X |
| Model ID | iPhone10,6 |
| Motherboard | D221AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
130
24.3 IPS |
|
|
Image Classification (F16)
|
100% |
120
22.4 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
140
2.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
140
2.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
139
2.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
540
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
550
0.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
548
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
145
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
132
9.82 IPS |
|
|
Object Detection (I8)
|
97% |
149
11.1 IPS |
|
|
Face Detection (F32)
|
100% |
346
4.12 IPS |
|
|
Face Detection (F16)
|
100% |
352
4.19 IPS |
|
|
Face Detection (I8)
|
99% |
353
4.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
389
3.02 IPS |
|
|
Depth Estimation (F16)
|
100% |
380
2.94 IPS |
|
|
Depth Estimation (I8)
|
99% |
361
2.80 IPS |
|
|
Style Transfer (F32)
|
100% |
933
1.23 IPS |
|
|
Style Transfer (F16)
|
100% |
942
1.24 IPS |
|
|
Style Transfer (I8)
|
100% |
948
1.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
317
11.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
315
11.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
314
11.2 IPS |
|
|
Text Classification (F32)
|
100% |
142
204.8 IPS |
|
|
Text Classification (F16)
|
100% |
103
148.0 IPS |
|
|
Text Classification (I8)
|
96% |
110
158.1 IPS |
|
|
Machine Translation (F32)
|
100% |
212
3.90 IPS |
|
|
Machine Translation (F16)
|
100% |
182
3.35 IPS |
|
|
Machine Translation (I8)
|
99% |
232
4.27 IPS |
