iPhone 8
Geekbench ML Score
362
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 06:28 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
238
44.5 IPS |
|
|
Image Classification (F16)
|
100% |
207
38.8 IPS |
|
|
Image Classification (I8)
|
99% |
211
39.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
194
3.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
194
3.24 IPS |
|
|
Image Segmentation (I8)
|
100% |
194
3.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
963
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
874
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
870
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
187
13.9 IPS |
|
|
Object Detection (F16)
|
100% |
172
12.9 IPS |
|
|
Object Detection (I8)
|
97% |
190
14.1 IPS |
|
|
Face Detection (F32)
|
100% |
360
4.28 IPS |
|
|
Face Detection (F16)
|
100% |
356
4.23 IPS |
|
|
Face Detection (I8)
|
99% |
355
4.22 IPS |
|
|
Depth Estimation (F32)
|
100% |
534
4.14 IPS |
|
|
Depth Estimation (F16)
|
100% |
432
3.35 IPS |
|
|
Depth Estimation (I8)
|
99% |
429
3.33 IPS |
|
|
Style Transfer (F32)
|
100% |
1370
1.80 IPS |
|
|
Style Transfer (F16)
|
100% |
1363
1.79 IPS |
|
|
Style Transfer (I8)
|
100% |
1383
1.82 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
420
15.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
429
15.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
510
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
205
294.0 IPS |
|
|
Text Classification (F16)
|
100% |
203
291.7 IPS |
|
|
Text Classification (I8)
|
96% |
213
306.7 IPS |
|
|
Machine Translation (F32)
|
100% |
307
5.65 IPS |
|
|
Machine Translation (F16)
|
100% |
232
4.27 IPS |
|
|
Machine Translation (I8)
|
99% |
259
4.76 IPS |
