iPhone 8
Geekbench ML Score
266
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 28 2024 07:51 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.7 |
| 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% |
233
43.6 IPS |
|
|
Image Classification (F16)
|
100% |
209
39.1 IPS |
|
|
Image Classification (I8)
|
99% |
207
38.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (I8)
|
100% |
187
3.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
893
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
673
0.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
594
0.72 IPS |
|
|
Object Detection (F32)
|
100% |
125
9.37 IPS |
|
|
Object Detection (F16)
|
100% |
115
8.58 IPS |
|
|
Object Detection (I8)
|
97% |
126
9.39 IPS |
|
|
Face Detection (F32)
|
100% |
254
3.02 IPS |
|
|
Face Detection (F16)
|
100% |
276
3.28 IPS |
|
|
Face Detection (I8)
|
99% |
276
3.29 IPS |
|
|
Depth Estimation (F32)
|
100% |
348
2.69 IPS |
|
|
Depth Estimation (F16)
|
100% |
318
2.47 IPS |
|
|
Depth Estimation (I8)
|
99% |
318
2.47 IPS |
|
|
Style Transfer (F32)
|
100% |
1011
1.33 IPS |
|
|
Style Transfer (F16)
|
100% |
755
0.99 IPS |
|
|
Style Transfer (I8)
|
100% |
707
0.93 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
277
9.89 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
305
10.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
315
11.2 IPS |
|
|
Text Classification (F32)
|
100% |
101
145.7 IPS |
|
|
Text Classification (F16)
|
100% |
112
161.0 IPS |
|
|
Text Classification (I8)
|
96% |
153
220.3 IPS |
|
|
Machine Translation (F32)
|
100% |
208
3.83 IPS |
|
|
Machine Translation (F16)
|
100% |
177
3.26 IPS |
|
|
Machine Translation (I8)
|
99% |
214
3.93 IPS |
