iPhone 8
Geekbench ML Score
300
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 02:51 AM |
| Views | 1 |
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
42.4 IPS |
|
|
Image Classification (F16)
|
100% |
208
39.0 IPS |
|
|
Image Classification (I8)
|
99% |
203
38.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
183
3.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
141
2.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
141
2.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
878
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
670
0.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
663
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
145
10.9 IPS |
|
|
Object Detection (F16)
|
100% |
148
11.1 IPS |
|
|
Object Detection (I8)
|
97% |
190
14.2 IPS |
|
|
Face Detection (F32)
|
100% |
361
4.29 IPS |
|
|
Face Detection (F16)
|
100% |
358
4.26 IPS |
|
|
Face Detection (I8)
|
99% |
403
4.80 IPS |
|
|
Depth Estimation (F32)
|
100% |
495
3.84 IPS |
|
|
Depth Estimation (F16)
|
100% |
429
3.33 IPS |
|
|
Depth Estimation (I8)
|
99% |
431
3.34 IPS |
|
|
Style Transfer (F32)
|
100% |
1041
1.37 IPS |
|
|
Style Transfer (F16)
|
100% |
958
1.26 IPS |
|
|
Style Transfer (I8)
|
100% |
898
1.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
278
9.94 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
315
11.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
316
11.3 IPS |
|
|
Text Classification (F32)
|
100% |
101
145.5 IPS |
|
|
Text Classification (F16)
|
100% |
151
217.6 IPS |
|
|
Text Classification (I8)
|
96% |
152
219.0 IPS |
|
|
Machine Translation (F32)
|
100% |
256
4.71 IPS |
|
|
Machine Translation (F16)
|
100% |
203
3.73 IPS |
|
|
Machine Translation (I8)
|
99% |
269
4.95 IPS |
