iPhone 8
Geekbench ML Score
397
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 11 2025 10:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| 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% |
232
43.4 IPS |
|
|
Image Classification (F16)
|
100% |
212
39.8 IPS |
|
|
Image Classification (I8)
|
99% |
209
39.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
197
3.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.29 IPS |
|
|
Image Segmentation (I8)
|
100% |
195
3.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
937
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
930
1.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
922
1.12 IPS |
|
|
Object Detection (F32)
|
100% |
232
17.4 IPS |
|
|
Object Detection (F16)
|
100% |
227
17.0 IPS |
|
|
Object Detection (I8)
|
97% |
252
18.8 IPS |
|
|
Face Detection (F32)
|
100% |
461
5.48 IPS |
|
|
Face Detection (F16)
|
100% |
453
5.38 IPS |
|
|
Face Detection (I8)
|
99% |
440
5.23 IPS |
|
|
Depth Estimation (F32)
|
100% |
573
4.44 IPS |
|
|
Depth Estimation (F16)
|
100% |
525
4.07 IPS |
|
|
Depth Estimation (I8)
|
99% |
524
4.06 IPS |
|
|
Style Transfer (F32)
|
100% |
1494
1.96 IPS |
|
|
Style Transfer (F16)
|
100% |
1410
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1413
1.86 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
425
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
511
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
529
18.9 IPS |
|
|
Text Classification (F32)
|
100% |
229
328.6 IPS |
|
|
Text Classification (F16)
|
100% |
207
298.0 IPS |
|
|
Text Classification (I8)
|
96% |
217
311.7 IPS |
|
|
Machine Translation (F32)
|
100% |
306
5.64 IPS |
|
|
Machine Translation (F16)
|
100% |
243
4.48 IPS |
|
|
Machine Translation (I8)
|
99% |
301
5.54 IPS |
