iPhone 8
Geekbench ML Score
562
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 29 2026 12:42 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.15 |
| 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% |
176
33.0 IPS |
|
|
Image Classification (F16)
|
100% |
153
28.6 IPS |
|
|
Image Classification (I8)
|
99% |
148
27.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
1857
2.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
2133
2.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
2084
2.52 IPS |
|
|
Object Detection (F32)
|
100% |
277
20.7 IPS |
|
|
Object Detection (F16)
|
100% |
275
20.6 IPS |
|
|
Object Detection (I8)
|
97% |
289
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
962
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
1022
12.2 IPS |
|
|
Face Detection (I8)
|
99% |
1008
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2305
17.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2491
19.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2503
19.4 IPS |
|
|
Style Transfer (F32)
|
100% |
3730
4.91 IPS |
|
|
Style Transfer (F16)
|
100% |
4257
5.60 IPS |
|
|
Style Transfer (I8)
|
100% |
4236
5.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
983
35.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1011
36.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1060
37.8 IPS |
|
|
Text Classification (F32)
|
100% |
50
72.5 IPS |
|
|
Text Classification (F16)
|
100% |
195
280.1 IPS |
|
|
Text Classification (I8)
|
96% |
195
279.6 IPS |
|
|
Machine Translation (F32)
|
100% |
244
4.50 IPS |
|
|
Machine Translation (F16)
|
100% |
102
1.87 IPS |
|
|
Machine Translation (I8)
|
99% |
123
2.27 IPS |
