iPhone 8
Geekbench ML Score
633
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 21 2023 10:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.4 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
206
38.6 IPS |
|
|
Image Classification (F16)
|
100% |
167
31.2 IPS |
|
|
Image Classification (I8)
|
99% |
164
30.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
183
3.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
195
3.26 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2325
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
2826
3.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
2866
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
291
21.7 IPS |
|
|
Object Detection (F16)
|
100% |
298
22.3 IPS |
|
|
Object Detection (I8)
|
97% |
354
26.5 IPS |
|
|
Face Detection (F32)
|
100% |
923
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
892
10.6 IPS |
|
|
Face Detection (I8)
|
99% |
874
10.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2241
17.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2483
19.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2778
21.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4470
5.88 IPS |
|
|
Style Transfer (F16)
|
100% |
5017
6.60 IPS |
|
|
Style Transfer (I8)
|
100% |
4338
5.71 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1077
38.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1268
45.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1213
43.3 IPS |
|
|
Text Classification (F32)
|
100% |
51
73.6 IPS |
|
|
Text Classification (F16)
|
100% |
197
282.9 IPS |
|
|
Text Classification (I8)
|
96% |
199
285.8 IPS |
|
|
Machine Translation (F32)
|
100% |
282
5.19 IPS |
|
|
Machine Translation (F16)
|
100% |
208
3.82 IPS |
|
|
Machine Translation (I8)
|
99% |
226
4.16 IPS |
