iPhone 8
Geekbench ML Score
601
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 29 2026 12:35 AM |
| Views | 2 |
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% |
178
33.3 IPS |
|
|
Image Classification (F16)
|
100% |
146
27.3 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
2309
2.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
2741
3.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
2659
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
318
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
267
19.9 IPS |
|
|
Object Detection (I8)
|
97% |
264
19.7 IPS |
|
|
Face Detection (F32)
|
100% |
910
10.8 IPS |
|
|
Face Detection (F16)
|
100% |
967
11.5 IPS |
|
|
Face Detection (I8)
|
99% |
1019
12.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2216
17.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2581
20.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2454
19.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4281
5.63 IPS |
|
|
Style Transfer (F16)
|
100% |
4765
6.27 IPS |
|
|
Style Transfer (I8)
|
100% |
4779
6.29 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
978
34.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
986
35.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1034
36.9 IPS |
|
|
Text Classification (F32)
|
100% |
53
76.1 IPS |
|
|
Text Classification (F16)
|
100% |
196
281.4 IPS |
|
|
Text Classification (I8)
|
96% |
194
278.8 IPS |
|
|
Machine Translation (F32)
|
100% |
278
5.11 IPS |
|
|
Machine Translation (F16)
|
100% |
185
3.41 IPS |
|
|
Machine Translation (I8)
|
99% |
177
3.25 IPS |
