iPhone 8
Geekbench ML Score
593
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 06 2025 02:49 PM |
| Views | 7 |
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% |
173
32.4 IPS |
|
|
Image Classification (F16)
|
100% |
155
29.0 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
1832
2.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
2166
2.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
2124
2.57 IPS |
|
|
Object Detection (F32)
|
100% |
295
22.0 IPS |
|
|
Object Detection (F16)
|
100% |
267
19.9 IPS |
|
|
Object Detection (I8)
|
97% |
288
21.5 IPS |
|
|
Face Detection (F32)
|
100% |
928
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
975
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
979
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1883
14.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2186
17.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2145
16.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3923
5.16 IPS |
|
|
Style Transfer (F16)
|
100% |
4598
6.05 IPS |
|
|
Style Transfer (I8)
|
100% |
4591
6.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
889
31.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1284
45.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1036
37.0 IPS |
|
|
Text Classification (F32)
|
100% |
54
77.8 IPS |
|
|
Text Classification (F16)
|
100% |
199
285.4 IPS |
|
|
Text Classification (I8)
|
96% |
199
285.9 IPS |
|
|
Machine Translation (F32)
|
100% |
294
5.41 IPS |
|
|
Machine Translation (F16)
|
100% |
222
4.08 IPS |
|
|
Machine Translation (I8)
|
99% |
279
5.14 IPS |
