iPhone 8
Geekbench ML Score
342
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 06 2025 02:56 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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 | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
209
39.2 IPS |
|
|
Image Classification (F16)
|
100% |
191
35.7 IPS |
|
|
Image Classification (I8)
|
99% |
185
34.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
174
2.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
176
2.93 IPS |
|
|
Image Segmentation (I8)
|
100% |
173
2.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
832
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
830
1.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
667
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
146
10.9 IPS |
|
|
Object Detection (F16)
|
100% |
174
13.0 IPS |
|
|
Object Detection (I8)
|
97% |
190
14.2 IPS |
|
|
Face Detection (F32)
|
100% |
362
4.31 IPS |
|
|
Face Detection (F16)
|
100% |
356
4.23 IPS |
|
|
Face Detection (I8)
|
99% |
357
4.24 IPS |
|
|
Depth Estimation (F32)
|
100% |
467
3.62 IPS |
|
|
Depth Estimation (F16)
|
100% |
431
3.34 IPS |
|
|
Depth Estimation (I8)
|
99% |
430
3.33 IPS |
|
|
Style Transfer (F32)
|
100% |
1365
1.80 IPS |
|
|
Style Transfer (F16)
|
100% |
1360
1.79 IPS |
|
|
Style Transfer (I8)
|
100% |
1408
1.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
420
15.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
420
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
461
16.5 IPS |
|
|
Text Classification (F32)
|
100% |
206
296.1 IPS |
|
|
Text Classification (F16)
|
100% |
203
291.8 IPS |
|
|
Text Classification (I8)
|
96% |
212
305.1 IPS |
|
|
Machine Translation (F32)
|
100% |
294
5.41 IPS |
|
|
Machine Translation (F16)
|
100% |
229
4.21 IPS |
|
|
Machine Translation (I8)
|
99% |
256
4.71 IPS |
