iPhone 8
Geekbench ML Score
626
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 09 2025 11:16 PM |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
179
33.4 IPS |
|
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2290
2.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
2662
3.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
2673
3.24 IPS |
|
|
Object Detection (F32)
|
100% |
280
20.9 IPS |
|
|
Object Detection (F16)
|
100% |
303
22.6 IPS |
|
|
Object Detection (I8)
|
97% |
261
19.5 IPS |
|
|
Face Detection (F32)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (F16)
|
100% |
965
11.5 IPS |
|
|
Face Detection (I8)
|
99% |
882
10.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2268
17.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2495
19.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2419
18.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4406
5.80 IPS |
|
|
Style Transfer (F16)
|
100% |
4820
6.34 IPS |
|
|
Style Transfer (I8)
|
100% |
4745
6.24 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1145
40.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1142
40.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1087
38.8 IPS |
|
|
Text Classification (F32)
|
100% |
61
87.4 IPS |
|
|
Text Classification (F16)
|
100% |
194
279.4 IPS |
|
|
Text Classification (I8)
|
96% |
178
256.4 IPS |
|
|
Machine Translation (F32)
|
100% |
307
5.66 IPS |
|
|
Machine Translation (F16)
|
100% |
239
4.41 IPS |
|
|
Machine Translation (I8)
|
99% |
307
5.66 IPS |
