iPhone 8
Geekbench ML Score
371
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 19 2026 02:45 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
210
39.3 IPS |
|
|
Image Classification (F16)
|
100% |
190
35.6 IPS |
|
|
Image Classification (I8)
|
99% |
187
35.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
178
2.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
177
2.95 IPS |
|
|
Image Segmentation (I8)
|
100% |
177
2.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
913
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
879
1.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
868
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
190
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
180
13.5 IPS |
|
|
Object Detection (I8)
|
97% |
234
17.5 IPS |
|
|
Face Detection (F32)
|
100% |
441
5.25 IPS |
|
|
Face Detection (F16)
|
100% |
434
5.16 IPS |
|
|
Face Detection (I8)
|
99% |
424
5.04 IPS |
|
|
Depth Estimation (F32)
|
100% |
556
4.31 IPS |
|
|
Depth Estimation (F16)
|
100% |
464
3.60 IPS |
|
|
Depth Estimation (I8)
|
99% |
457
3.55 IPS |
|
|
Style Transfer (F32)
|
100% |
1379
1.81 IPS |
|
|
Style Transfer (F16)
|
100% |
1396
1.84 IPS |
|
|
Style Transfer (I8)
|
100% |
1401
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
422
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
505
18.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
508
18.1 IPS |
|
|
Text Classification (F32)
|
100% |
214
307.2 IPS |
|
|
Text Classification (F16)
|
100% |
212
304.8 IPS |
|
|
Text Classification (I8)
|
96% |
221
317.9 IPS |
|
|
Machine Translation (F32)
|
100% |
320
5.90 IPS |
|
|
Machine Translation (F16)
|
100% |
235
4.32 IPS |
|
|
Machine Translation (I8)
|
99% |
252
4.64 IPS |
