iPhone 8
Geekbench ML Score
583
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 09 2025 07:36 AM |
| Views | 3 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
182
34.1 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.7 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
1952
2.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
2172
2.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
2062
2.50 IPS |
|
|
Object Detection (F32)
|
100% |
291
21.7 IPS |
|
|
Object Detection (F16)
|
100% |
275
20.5 IPS |
|
|
Object Detection (I8)
|
97% |
303
22.7 IPS |
|
|
Face Detection (F32)
|
100% |
929
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
968
11.5 IPS |
|
|
Face Detection (I8)
|
99% |
1030
12.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2075
16.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2293
17.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2572
19.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4626
6.09 IPS |
|
|
Style Transfer (F16)
|
100% |
4603
6.06 IPS |
|
|
Style Transfer (I8)
|
100% |
4462
5.87 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1050
37.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
936
33.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1016
36.3 IPS |
|
|
Text Classification (F32)
|
100% |
53
76.6 IPS |
|
|
Text Classification (F16)
|
100% |
201
288.8 IPS |
|
|
Text Classification (I8)
|
96% |
196
282.4 IPS |
|
|
Machine Translation (F32)
|
100% |
247
4.54 IPS |
|
|
Machine Translation (F16)
|
100% |
147
2.70 IPS |
|
|
Machine Translation (I8)
|
99% |
197
3.63 IPS |
