iPhone 8
Geekbench ML Score
391
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 04 2024 05:46 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
225
42.1 IPS |
|
|
Image Classification (F16)
|
100% |
210
39.3 IPS |
|
|
Image Classification (I8)
|
99% |
208
38.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
190
3.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
190
3.18 IPS |
|
|
Image Segmentation (I8)
|
100% |
192
3.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
898
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
890
1.08 IPS |
|
|
Pose Estimation (I8)
|
100% |
885
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
232
17.3 IPS |
|
|
Object Detection (F16)
|
100% |
221
16.5 IPS |
|
|
Object Detection (I8)
|
97% |
245
18.3 IPS |
|
|
Face Detection (F32)
|
100% |
453
5.38 IPS |
|
|
Face Detection (F16)
|
100% |
441
5.24 IPS |
|
|
Face Detection (I8)
|
99% |
439
5.22 IPS |
|
|
Depth Estimation (F32)
|
100% |
568
4.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
527
4.09 IPS |
|
|
Depth Estimation (I8)
|
99% |
526
4.08 IPS |
|
|
Style Transfer (F32)
|
100% |
1477
1.94 IPS |
|
|
Style Transfer (F16)
|
100% |
1412
1.86 IPS |
|
|
Style Transfer (I8)
|
100% |
1410
1.86 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
427
15.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
510
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
513
18.3 IPS |
|
|
Text Classification (F32)
|
100% |
210
302.1 IPS |
|
|
Text Classification (F16)
|
100% |
216
310.5 IPS |
|
|
Text Classification (I8)
|
96% |
218
312.8 IPS |
|
|
Machine Translation (F32)
|
100% |
318
5.86 IPS |
|
|
Machine Translation (F16)
|
100% |
235
4.32 IPS |
|
|
Machine Translation (I8)
|
99% |
288
5.29 IPS |
