iPhone 8
Geekbench ML Score
628
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 30 2025 06:53 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
183
34.3 IPS |
|
|
Image Classification (F16)
|
100% |
145
27.1 IPS |
|
|
Image Classification (I8)
|
99% |
147
27.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2219
2.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
2518
3.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
2542
3.08 IPS |
|
|
Object Detection (F32)
|
100% |
360
26.8 IPS |
|
|
Object Detection (F16)
|
100% |
313
23.3 IPS |
|
|
Object Detection (I8)
|
97% |
308
23.0 IPS |
|
|
Face Detection (F32)
|
100% |
1049
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
974
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
975
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2415
18.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2502
19.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2408
18.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4448
5.85 IPS |
|
|
Style Transfer (F16)
|
100% |
4851
6.38 IPS |
|
|
Style Transfer (I8)
|
100% |
5006
6.58 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
890
31.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
960
34.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1049
37.5 IPS |
|
|
Text Classification (F32)
|
100% |
52
74.3 IPS |
|
|
Text Classification (F16)
|
100% |
202
289.7 IPS |
|
|
Text Classification (I8)
|
96% |
198
284.2 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.78 IPS |
|
|
Machine Translation (F16)
|
100% |
233
4.28 IPS |
|
|
Machine Translation (I8)
|
99% |
290
5.35 IPS |
