iPhone 8
Geekbench ML Score
594
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 28 2024 08:03 AM |
| Views | 1 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
176
33.0 IPS |
|
|
Image Classification (F16)
|
100% |
146
27.3 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2120
2.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
2418
2.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
2342
2.84 IPS |
|
|
Object Detection (F32)
|
100% |
297
22.2 IPS |
|
|
Object Detection (F16)
|
100% |
271
20.2 IPS |
|
|
Object Detection (I8)
|
97% |
302
22.5 IPS |
|
|
Face Detection (F32)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (I8)
|
99% |
938
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2162
16.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2732
21.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2362
18.3 IPS |
|
|
Style Transfer (F32)
|
100% |
3805
5.01 IPS |
|
|
Style Transfer (F16)
|
100% |
4520
5.95 IPS |
|
|
Style Transfer (I8)
|
100% |
4699
6.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
957
34.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1133
40.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1000
35.7 IPS |
|
|
Text Classification (F32)
|
100% |
53
76.5 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.8 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.6 IPS |
|
|
Machine Translation (F32)
|
100% |
261
4.80 IPS |
|
|
Machine Translation (F16)
|
100% |
166
3.05 IPS |
|
|
Machine Translation (I8)
|
99% |
190
3.50 IPS |
