iPhone X
Geekbench ML Score
265
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 16 2025 07:22 PM |
| Views | 7 |
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% |
131
24.4 IPS |
|
|
Image Classification (F16)
|
100% |
120
22.5 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
140
2.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
139
2.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
140
2.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
492
0.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
541
0.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
541
0.65 IPS |
|
|
Object Detection (F32)
|
100% |
145
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
131
9.76 IPS |
|
|
Object Detection (I8)
|
97% |
146
10.9 IPS |
|
|
Face Detection (F32)
|
100% |
324
3.86 IPS |
|
|
Face Detection (F16)
|
100% |
355
4.22 IPS |
|
|
Face Detection (I8)
|
99% |
353
4.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
386
2.99 IPS |
|
|
Depth Estimation (F16)
|
100% |
371
2.88 IPS |
|
|
Depth Estimation (I8)
|
99% |
367
2.84 IPS |
|
|
Style Transfer (F32)
|
100% |
940
1.24 IPS |
|
|
Style Transfer (F16)
|
100% |
916
1.20 IPS |
|
|
Style Transfer (I8)
|
100% |
938
1.23 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
319
11.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
316
11.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
315
11.3 IPS |
|
|
Text Classification (F32)
|
100% |
143
204.8 IPS |
|
|
Text Classification (F16)
|
100% |
150
216.1 IPS |
|
|
Text Classification (I8)
|
96% |
153
219.5 IPS |
|
|
Machine Translation (F32)
|
100% |
254
4.67 IPS |
|
|
Machine Translation (F16)
|
100% |
196
3.61 IPS |
|
|
Machine Translation (I8)
|
99% |
252
4.63 IPS |
