iPhone 8
Geekbench ML Score
394
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 21 2025 06:34 AM |
| Views | 1 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
230
43.1 IPS |
|
|
Image Classification (F16)
|
100% |
212
39.7 IPS |
|
|
Image Classification (I8)
|
99% |
210
39.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
195
3.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
197
3.28 IPS |
|
|
Image Segmentation (I8)
|
100% |
195
3.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
908
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
937
1.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
938
1.14 IPS |
|
|
Object Detection (F32)
|
100% |
246
18.4 IPS |
|
|
Object Detection (F16)
|
100% |
230
17.2 IPS |
|
|
Object Detection (I8)
|
97% |
250
18.7 IPS |
|
|
Face Detection (F32)
|
100% |
482
5.73 IPS |
|
|
Face Detection (F16)
|
100% |
452
5.38 IPS |
|
|
Face Detection (I8)
|
99% |
444
5.28 IPS |
|
|
Depth Estimation (F32)
|
100% |
572
4.44 IPS |
|
|
Depth Estimation (F16)
|
100% |
527
4.08 IPS |
|
|
Depth Estimation (I8)
|
99% |
525
4.07 IPS |
|
|
Style Transfer (F32)
|
100% |
1481
1.95 IPS |
|
|
Style Transfer (F16)
|
100% |
1408
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1395
1.83 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
425
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
511
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
512
18.3 IPS |
|
|
Text Classification (F32)
|
100% |
231
332.0 IPS |
|
|
Text Classification (F16)
|
100% |
213
306.5 IPS |
|
|
Text Classification (I8)
|
96% |
218
313.6 IPS |
|
|
Machine Translation (F32)
|
100% |
275
5.06 IPS |
|
|
Machine Translation (F16)
|
100% |
217
3.99 IPS |
|
|
Machine Translation (I8)
|
99% |
284
5.22 IPS |
