iPhone 8
Geekbench ML Score
231
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 09 2025 07:56 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
226
42.3 IPS |
|
|
Image Classification (F16)
|
100% |
208
38.8 IPS |
|
|
Image Classification (I8)
|
99% |
187
35.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
174
2.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
172
2.88 IPS |
|
|
Image Segmentation (I8)
|
100% |
170
2.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
835
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
644
0.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
310
0.38 IPS |
|
|
Object Detection (F32)
|
100% |
79
5.93 IPS |
|
|
Object Detection (F16)
|
100% |
115
8.57 IPS |
|
|
Object Detection (I8)
|
97% |
125
9.33 IPS |
|
|
Face Detection (F32)
|
100% |
258
3.07 IPS |
|
|
Face Detection (F16)
|
100% |
255
3.03 IPS |
|
|
Face Detection (I8)
|
99% |
270
3.21 IPS |
|
|
Depth Estimation (F32)
|
100% |
340
2.63 IPS |
|
|
Depth Estimation (F16)
|
100% |
278
2.16 IPS |
|
|
Depth Estimation (I8)
|
99% |
278
2.15 IPS |
|
|
Style Transfer (F32)
|
100% |
641
0.84 IPS |
|
|
Style Transfer (F16)
|
100% |
561
0.74 IPS |
|
|
Style Transfer (I8)
|
100% |
560
0.74 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
198
7.06 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
269
9.62 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
270
9.65 IPS |
|
|
Text Classification (F32)
|
100% |
101
144.8 IPS |
|
|
Text Classification (F16)
|
100% |
110
158.2 IPS |
|
|
Text Classification (I8)
|
96% |
111
159.8 IPS |
|
|
Machine Translation (F32)
|
100% |
189
3.48 IPS |
|
|
Machine Translation (F16)
|
100% |
153
2.81 IPS |
|
|
Machine Translation (I8)
|
99% |
200
3.68 IPS |
