iPhone 8
Geekbench ML Score
316
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 02 2025 08:36 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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% |
231
43.3 IPS |
|
|
Image Classification (F16)
|
100% |
210
39.4 IPS |
|
|
Image Classification (I8)
|
99% |
203
38.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (I8)
|
100% |
162
2.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
883
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
667
0.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
657
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
124
9.25 IPS |
|
|
Object Detection (F16)
|
100% |
121
9.06 IPS |
|
|
Object Detection (I8)
|
97% |
143
10.6 IPS |
|
|
Face Detection (F32)
|
100% |
281
3.35 IPS |
|
|
Face Detection (F16)
|
100% |
335
3.99 IPS |
|
|
Face Detection (I8)
|
99% |
355
4.22 IPS |
|
|
Depth Estimation (F32)
|
100% |
467
3.62 IPS |
|
|
Depth Estimation (F16)
|
100% |
430
3.33 IPS |
|
|
Depth Estimation (I8)
|
99% |
431
3.35 IPS |
|
|
Style Transfer (F32)
|
100% |
1369
1.80 IPS |
|
|
Style Transfer (F16)
|
100% |
1379
1.81 IPS |
|
|
Style Transfer (I8)
|
100% |
1396
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
425
15.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
420
15.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
510
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
204
293.7 IPS |
|
|
Text Classification (F16)
|
100% |
202
289.6 IPS |
|
|
Text Classification (I8)
|
96% |
213
305.5 IPS |
|
|
Machine Translation (F32)
|
100% |
241
4.43 IPS |
|
|
Machine Translation (F16)
|
100% |
87
1.60 IPS |
|
|
Machine Translation (I8)
|
99% |
169
3.11 IPS |
