iPhone 8
Geekbench ML Score
611
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 22 2024 01:14 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% |
176
33.0 IPS |
|
|
Image Classification (F16)
|
100% |
149
27.8 IPS |
|
|
Image Classification (I8)
|
99% |
142
26.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2244
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
2478
3.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
2409
2.92 IPS |
|
|
Object Detection (F32)
|
100% |
285
21.3 IPS |
|
|
Object Detection (F16)
|
100% |
281
21.0 IPS |
|
|
Object Detection (I8)
|
97% |
301
22.5 IPS |
|
|
Face Detection (F32)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
914
10.9 IPS |
|
|
Face Detection (I8)
|
99% |
933
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2094
16.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2373
18.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2336
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4367
5.74 IPS |
|
|
Style Transfer (F16)
|
100% |
5082
6.68 IPS |
|
|
Style Transfer (I8)
|
100% |
4950
6.51 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
968
34.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
981
35.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
995
35.5 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.4 IPS |
|
|
Text Classification (F16)
|
100% |
199
285.4 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.7 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.77 IPS |
|
|
Machine Translation (F16)
|
100% |
237
4.36 IPS |
|
|
Machine Translation (I8)
|
99% |
277
5.09 IPS |
