iPhone 8
Geekbench ML Score
627
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 22 2025 01:34 AM |
| 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% |
181
33.9 IPS |
|
|
Image Classification (F16)
|
100% |
156
29.3 IPS |
|
|
Image Classification (I8)
|
99% |
158
29.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
190
3.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.37 IPS |
|
|
Image Segmentation (I8)
|
100% |
203
3.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
2381
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2881
3.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
2862
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
366
27.3 IPS |
|
|
Object Detection (F16)
|
100% |
339
25.3 IPS |
|
|
Object Detection (I8)
|
97% |
261
19.5 IPS |
|
|
Face Detection (F32)
|
100% |
894
10.6 IPS |
|
|
Face Detection (F16)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (I8)
|
99% |
968
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2486
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2721
21.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2839
22.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4276
5.62 IPS |
|
|
Style Transfer (F16)
|
100% |
4332
5.70 IPS |
|
|
Style Transfer (I8)
|
100% |
4475
5.89 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1090
38.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1009
36.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1220
43.6 IPS |
|
|
Text Classification (F32)
|
100% |
58
83.2 IPS |
|
|
Text Classification (F16)
|
100% |
195
279.9 IPS |
|
|
Text Classification (I8)
|
96% |
195
280.9 IPS |
|
|
Machine Translation (F32)
|
100% |
276
5.08 IPS |
|
|
Machine Translation (F16)
|
100% |
188
3.46 IPS |
|
|
Machine Translation (I8)
|
99% |
184
3.38 IPS |
