iPhone 8
Geekbench ML Score
379
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 23 2025 07:35 AM |
| Views | 2 |
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% |
228
42.7 IPS |
|
|
Image Classification (F16)
|
100% |
203
38.0 IPS |
|
|
Image Classification (I8)
|
99% |
208
38.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
192
3.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
193
3.22 IPS |
|
|
Image Segmentation (I8)
|
100% |
193
3.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
1012
1.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
986
1.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
909
1.10 IPS |
|
|
Object Detection (F32)
|
100% |
231
17.2 IPS |
|
|
Object Detection (F16)
|
100% |
219
16.3 IPS |
|
|
Object Detection (I8)
|
97% |
244
18.2 IPS |
|
|
Face Detection (F32)
|
100% |
462
5.49 IPS |
|
|
Face Detection (F16)
|
100% |
464
5.52 IPS |
|
|
Face Detection (I8)
|
99% |
463
5.50 IPS |
|
|
Depth Estimation (F32)
|
100% |
559
4.33 IPS |
|
|
Depth Estimation (F16)
|
100% |
499
3.87 IPS |
|
|
Depth Estimation (I8)
|
99% |
516
4.00 IPS |
|
|
Style Transfer (F32)
|
100% |
1385
1.82 IPS |
|
|
Style Transfer (F16)
|
100% |
1395
1.84 IPS |
|
|
Style Transfer (I8)
|
100% |
1389
1.83 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
439
15.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
510
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
551
19.7 IPS |
|
|
Text Classification (F32)
|
100% |
232
333.9 IPS |
|
|
Text Classification (F16)
|
100% |
214
307.2 IPS |
|
|
Text Classification (I8)
|
96% |
221
318.3 IPS |
|
|
Machine Translation (F32)
|
100% |
248
4.56 IPS |
|
|
Machine Translation (F16)
|
100% |
166
3.06 IPS |
|
|
Machine Translation (I8)
|
99% |
145
2.67 IPS |
