iPhone 8
Geekbench ML Score
348
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 03 2025 04:30 AM |
| Views | 9 |
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% |
229
42.8 IPS |
|
|
Image Classification (F16)
|
100% |
209
39.2 IPS |
|
|
Image Classification (I8)
|
99% |
205
38.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (I8)
|
100% |
186
3.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
872
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
879
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
863
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
190
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
175
13.1 IPS |
|
|
Object Detection (I8)
|
97% |
191
14.3 IPS |
|
|
Face Detection (F32)
|
100% |
361
4.30 IPS |
|
|
Face Detection (F16)
|
100% |
356
4.24 IPS |
|
|
Face Detection (I8)
|
99% |
356
4.23 IPS |
|
|
Depth Estimation (F32)
|
100% |
464
3.60 IPS |
|
|
Depth Estimation (F16)
|
100% |
378
2.93 IPS |
|
|
Depth Estimation (I8)
|
99% |
429
3.32 IPS |
|
|
Style Transfer (F32)
|
100% |
1192
1.57 IPS |
|
|
Style Transfer (F16)
|
100% |
1151
1.51 IPS |
|
|
Style Transfer (I8)
|
100% |
1187
1.56 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
420
15.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
420
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
476
17.0 IPS |
|
|
Text Classification (F32)
|
100% |
207
297.0 IPS |
|
|
Text Classification (F16)
|
100% |
202
290.6 IPS |
|
|
Text Classification (I8)
|
96% |
204
293.1 IPS |
|
|
Machine Translation (F32)
|
100% |
290
5.33 IPS |
|
|
Machine Translation (F16)
|
100% |
223
4.10 IPS |
|
|
Machine Translation (I8)
|
99% |
257
4.74 IPS |
