iPhone 8
Geekbench ML Score
572
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 12 2025 08:16 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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% |
190
35.6 IPS |
|
|
Image Classification (F16)
|
100% |
163
30.5 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
1672
2.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
1807
2.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
1729
2.09 IPS |
|
|
Object Detection (F32)
|
100% |
266
19.9 IPS |
|
|
Object Detection (F16)
|
100% |
278
20.8 IPS |
|
|
Object Detection (I8)
|
97% |
361
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (F16)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (I8)
|
99% |
940
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2241
17.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2290
17.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2330
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
3863
5.08 IPS |
|
|
Style Transfer (F16)
|
100% |
4321
5.68 IPS |
|
|
Style Transfer (I8)
|
100% |
4192
5.51 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1017
36.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
915
32.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
910
32.5 IPS |
|
|
Text Classification (F32)
|
100% |
48
69.5 IPS |
|
|
Text Classification (F16)
|
100% |
199
286.2 IPS |
|
|
Text Classification (I8)
|
96% |
199
286.6 IPS |
|
|
Machine Translation (F32)
|
100% |
262
4.81 IPS |
|
|
Machine Translation (F16)
|
100% |
159
2.93 IPS |
|
|
Machine Translation (I8)
|
99% |
226
4.17 IPS |
