iPhone 8
Geekbench ML Score
608
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2025 09:23 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
216
40.4 IPS |
|
|
Image Classification (F16)
|
100% |
149
27.9 IPS |
|
|
Image Classification (I8)
|
99% |
151
28.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
196
3.27 IPS |
|
|
Image Segmentation (I8)
|
100% |
196
3.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
2287
2.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
2754
3.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
1632
1.98 IPS |
|
|
Object Detection (F32)
|
100% |
257
19.2 IPS |
|
|
Object Detection (F16)
|
100% |
259
19.3 IPS |
|
|
Object Detection (I8)
|
97% |
258
19.2 IPS |
|
|
Face Detection (F32)
|
100% |
973
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
955
11.4 IPS |
|
|
Face Detection (I8)
|
99% |
932
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2532
19.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2831
22.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2729
21.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4806
6.32 IPS |
|
|
Style Transfer (F16)
|
100% |
4524
5.95 IPS |
|
|
Style Transfer (I8)
|
100% |
4660
6.13 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1014
36.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
969
34.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1080
38.6 IPS |
|
|
Text Classification (F32)
|
100% |
60
85.5 IPS |
|
|
Text Classification (F16)
|
100% |
183
262.9 IPS |
|
|
Text Classification (I8)
|
96% |
186
268.0 IPS |
|
|
Machine Translation (F32)
|
100% |
267
4.92 IPS |
|
|
Machine Translation (F16)
|
100% |
213
3.92 IPS |
|
|
Machine Translation (I8)
|
99% |
260
4.79 IPS |
