iPhone 8
Geekbench ML Score
368
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 21 2025 06:45 AM |
| Views | 1 |
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% |
209
39.0 IPS |
|
|
Image Classification (F16)
|
100% |
156
29.1 IPS |
|
|
Image Classification (I8)
|
99% |
156
29.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
158
2.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
176
2.95 IPS |
|
|
Image Segmentation (I8)
|
100% |
178
2.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
934
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
879
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
876
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
188
14.0 IPS |
|
|
Object Detection (F16)
|
100% |
173
12.9 IPS |
|
|
Object Detection (I8)
|
97% |
190
14.2 IPS |
|
|
Face Detection (F32)
|
100% |
380
4.52 IPS |
|
|
Face Detection (F16)
|
100% |
438
5.21 IPS |
|
|
Face Detection (I8)
|
99% |
437
5.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
567
4.39 IPS |
|
|
Depth Estimation (F16)
|
100% |
526
4.08 IPS |
|
|
Depth Estimation (I8)
|
99% |
526
4.08 IPS |
|
|
Style Transfer (F32)
|
100% |
1467
1.93 IPS |
|
|
Style Transfer (F16)
|
100% |
1404
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1401
1.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
422
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
511
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
525
18.8 IPS |
|
|
Text Classification (F32)
|
100% |
231
332.4 IPS |
|
|
Text Classification (F16)
|
100% |
212
305.2 IPS |
|
|
Text Classification (I8)
|
96% |
217
311.8 IPS |
|
|
Machine Translation (F32)
|
100% |
315
5.79 IPS |
|
|
Machine Translation (F16)
|
100% |
242
4.45 IPS |
|
|
Machine Translation (I8)
|
99% |
289
5.33 IPS |
