iPhone X
Geekbench ML Score
636
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 07 2025 05:11 AM |
| Views | 5 |
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% |
177
33.2 IPS |
|
|
Image Classification (F16)
|
100% |
153
28.6 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2295
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
2728
3.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
2701
3.27 IPS |
|
|
Object Detection (F32)
|
100% |
347
25.9 IPS |
|
|
Object Detection (F16)
|
100% |
258
19.3 IPS |
|
|
Object Detection (I8)
|
97% |
325
24.3 IPS |
|
|
Face Detection (F32)
|
100% |
945
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
943
11.2 IPS |
|
|
Face Detection (I8)
|
99% |
935
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2306
17.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2588
20.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2420
18.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4668
6.14 IPS |
|
|
Style Transfer (F16)
|
100% |
5120
6.73 IPS |
|
|
Style Transfer (I8)
|
100% |
4816
6.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1085
38.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1105
39.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1040
37.2 IPS |
|
|
Text Classification (F32)
|
100% |
53
76.0 IPS |
|
|
Text Classification (F16)
|
100% |
198
285.2 IPS |
|
|
Text Classification (I8)
|
96% |
199
286.4 IPS |
|
|
Machine Translation (F32)
|
100% |
318
5.86 IPS |
|
|
Machine Translation (F16)
|
100% |
248
4.57 IPS |
|
|
Machine Translation (I8)
|
99% |
317
5.84 IPS |
