iPhone X
Geekbench ML Score
551
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 02:00 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
194
36.4 IPS |
|
|
Image Classification (F16)
|
100% |
158
29.6 IPS |
|
|
Image Classification (I8)
|
99% |
156
29.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
1394
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
1638
1.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
1554
1.88 IPS |
|
|
Object Detection (F32)
|
100% |
343
25.6 IPS |
|
|
Object Detection (F16)
|
100% |
292
21.8 IPS |
|
|
Object Detection (I8)
|
97% |
285
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
945
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
926
11.0 IPS |
|
|
Face Detection (I8)
|
99% |
1061
12.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2465
19.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2699
20.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2718
21.1 IPS |
|
|
Style Transfer (F32)
|
100% |
3363
4.42 IPS |
|
|
Style Transfer (F16)
|
100% |
4034
5.31 IPS |
|
|
Style Transfer (I8)
|
100% |
4160
5.47 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1002
35.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1197
42.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1028
36.7 IPS |
|
|
Text Classification (F32)
|
100% |
58
83.9 IPS |
|
|
Text Classification (F16)
|
100% |
189
271.4 IPS |
|
|
Text Classification (I8)
|
96% |
167
240.6 IPS |
|
|
Machine Translation (F32)
|
100% |
208
3.83 IPS |
|
|
Machine Translation (F16)
|
100% |
107
1.98 IPS |
|
|
Machine Translation (I8)
|
99% |
104
1.92 IPS |
