iPhone 8
Geekbench ML Score
634
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 12 2024 10:10 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
181
33.9 IPS |
|
|
Image Classification (F16)
|
100% |
145
27.1 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
204
3.40 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2231
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
2539
3.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
2593
3.14 IPS |
|
|
Object Detection (F32)
|
100% |
299
22.3 IPS |
|
|
Object Detection (F16)
|
100% |
304
22.7 IPS |
|
|
Object Detection (I8)
|
97% |
290
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
881
10.5 IPS |
|
|
Face Detection (F16)
|
100% |
973
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
1074
12.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2365
18.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2835
22.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2737
21.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4511
5.93 IPS |
|
|
Style Transfer (F16)
|
100% |
4726
6.22 IPS |
|
|
Style Transfer (I8)
|
100% |
4736
6.23 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1204
43.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1008
36.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1135
40.5 IPS |
|
|
Text Classification (F32)
|
100% |
52
74.8 IPS |
|
|
Text Classification (F16)
|
100% |
198
284.1 IPS |
|
|
Text Classification (I8)
|
96% |
200
288.0 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.79 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.41 IPS |
|
|
Machine Translation (I8)
|
99% |
296
5.44 IPS |
