iPhone X
Geekbench ML Score
342
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 06 2026 11:38 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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% |
217
40.6 IPS |
|
|
Image Classification (F16)
|
100% |
196
36.6 IPS |
|
|
Image Classification (I8)
|
99% |
179
33.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
135
2.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
135
2.26 IPS |
|
|
Image Segmentation (I8)
|
100% |
131
2.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
837
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
644
0.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
624
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
179
13.4 IPS |
|
|
Object Detection (F16)
|
100% |
173
12.9 IPS |
|
|
Object Detection (I8)
|
97% |
190
14.2 IPS |
|
|
Face Detection (F32)
|
100% |
408
4.85 IPS |
|
|
Face Detection (F16)
|
100% |
414
4.92 IPS |
|
|
Face Detection (I8)
|
99% |
431
5.13 IPS |
|
|
Depth Estimation (F32)
|
100% |
546
4.23 IPS |
|
|
Depth Estimation (F16)
|
100% |
437
3.39 IPS |
|
|
Depth Estimation (I8)
|
99% |
422
3.27 IPS |
|
|
Style Transfer (F32)
|
100% |
1295
1.70 IPS |
|
|
Style Transfer (F16)
|
100% |
1299
1.71 IPS |
|
|
Style Transfer (I8)
|
100% |
1386
1.82 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
415
14.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
464
16.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
502
17.9 IPS |
|
|
Text Classification (F32)
|
100% |
205
294.7 IPS |
|
|
Text Classification (F16)
|
100% |
200
288.1 IPS |
|
|
Text Classification (I8)
|
96% |
229
329.2 IPS |
|
|
Machine Translation (F32)
|
100% |
304
5.60 IPS |
|
|
Machine Translation (F16)
|
100% |
229
4.21 IPS |
|
|
Machine Translation (I8)
|
99% |
280
5.15 IPS |
