iPhone 8
Geekbench ML Score
415
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 09 2025 10:44 PM |
| Views | 3 |
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% |
217
40.7 IPS |
|
|
Image Classification (F16)
|
100% |
195
36.5 IPS |
|
|
Image Classification (I8)
|
99% |
192
35.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
175
2.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
179
2.99 IPS |
|
|
Image Segmentation (I8)
|
100% |
183
3.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
971
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
937
1.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
968
1.17 IPS |
|
|
Object Detection (F32)
|
100% |
253
18.9 IPS |
|
|
Object Detection (F16)
|
100% |
238
17.7 IPS |
|
|
Object Detection (I8)
|
97% |
261
19.5 IPS |
|
|
Face Detection (F32)
|
100% |
467
5.55 IPS |
|
|
Face Detection (F16)
|
100% |
471
5.60 IPS |
|
|
Face Detection (I8)
|
99% |
473
5.62 IPS |
|
|
Depth Estimation (F32)
|
100% |
626
4.85 IPS |
|
|
Depth Estimation (F16)
|
100% |
579
4.49 IPS |
|
|
Depth Estimation (I8)
|
99% |
570
4.42 IPS |
|
|
Style Transfer (F32)
|
100% |
1697
2.23 IPS |
|
|
Style Transfer (F16)
|
100% |
1683
2.21 IPS |
|
|
Style Transfer (I8)
|
100% |
1712
2.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
548
19.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
570
20.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
571
20.4 IPS |
|
|
Text Classification (F32)
|
100% |
256
367.3 IPS |
|
|
Text Classification (F16)
|
100% |
214
307.7 IPS |
|
|
Text Classification (I8)
|
96% |
220
316.4 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.78 IPS |
|
|
Machine Translation (F16)
|
100% |
261
4.80 IPS |
|
|
Machine Translation (I8)
|
99% |
312
5.73 IPS |
