iPhone 8
Geekbench ML Score
617
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 11:26 PM |
| 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% |
182
34.0 IPS |
|
|
Image Classification (F16)
|
100% |
145
27.1 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
197
3.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
2261
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
2593
3.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
2585
3.13 IPS |
|
|
Object Detection (F32)
|
100% |
337
25.2 IPS |
|
|
Object Detection (F16)
|
100% |
288
21.5 IPS |
|
|
Object Detection (I8)
|
97% |
270
20.1 IPS |
|
|
Face Detection (F32)
|
100% |
990
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
987
11.7 IPS |
|
|
Face Detection (I8)
|
99% |
954
11.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2126
16.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2286
17.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2311
17.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4347
5.72 IPS |
|
|
Style Transfer (F16)
|
100% |
4917
6.47 IPS |
|
|
Style Transfer (I8)
|
100% |
4816
6.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1007
35.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
938
33.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1051
37.5 IPS |
|
|
Text Classification (F32)
|
100% |
50
71.3 IPS |
|
|
Text Classification (F16)
|
100% |
195
280.5 IPS |
|
|
Text Classification (I8)
|
96% |
197
283.8 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.80 IPS |
|
|
Machine Translation (F16)
|
100% |
241
4.43 IPS |
|
|
Machine Translation (I8)
|
99% |
304
5.60 IPS |
