iPhone 8
Geekbench ML Score
280
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 04 2024 01:09 AM |
| Views | 1 |
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% |
229
42.8 IPS |
|
|
Image Classification (F16)
|
100% |
209
39.0 IPS |
|
|
Image Classification (I8)
|
99% |
199
37.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
178
2.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
176
2.95 IPS |
|
|
Image Segmentation (I8)
|
100% |
173
2.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
813
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
812
0.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
663
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
146
10.9 IPS |
|
|
Object Detection (F16)
|
100% |
132
9.86 IPS |
|
|
Object Detection (I8)
|
97% |
148
11.1 IPS |
|
|
Face Detection (F32)
|
100% |
289
3.43 IPS |
|
|
Face Detection (F16)
|
100% |
318
3.78 IPS |
|
|
Face Detection (I8)
|
99% |
316
3.76 IPS |
|
|
Depth Estimation (F32)
|
100% |
412
3.20 IPS |
|
|
Depth Estimation (F16)
|
100% |
321
2.49 IPS |
|
|
Depth Estimation (I8)
|
99% |
317
2.46 IPS |
|
|
Style Transfer (F32)
|
100% |
1022
1.34 IPS |
|
|
Style Transfer (F16)
|
100% |
763
1.00 IPS |
|
|
Style Transfer (I8)
|
100% |
632
0.83 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
279
9.96 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
295
10.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
316
11.3 IPS |
|
|
Text Classification (F32)
|
100% |
101
144.6 IPS |
|
|
Text Classification (F16)
|
100% |
142
204.4 IPS |
|
|
Text Classification (I8)
|
96% |
155
222.4 IPS |
|
|
Machine Translation (F32)
|
100% |
248
4.57 IPS |
|
|
Machine Translation (F16)
|
100% |
200
3.68 IPS |
|
|
Machine Translation (I8)
|
99% |
235
4.32 IPS |
