iPhone 8
Geekbench ML Score
640
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 02 2025 09:54 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
174
32.6 IPS |
|
|
Image Classification (F16)
|
100% |
157
29.4 IPS |
|
|
Image Classification (I8)
|
99% |
153
28.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2383
2.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
2866
3.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
2861
3.46 IPS |
|
|
Object Detection (F32)
|
100% |
301
22.5 IPS |
|
|
Object Detection (F16)
|
100% |
312
23.3 IPS |
|
|
Object Detection (I8)
|
97% |
309
23.1 IPS |
|
|
Face Detection (F32)
|
100% |
995
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (I8)
|
99% |
1013
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2530
19.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2890
22.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2836
22.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4429
5.83 IPS |
|
|
Style Transfer (F16)
|
100% |
4509
5.93 IPS |
|
|
Style Transfer (I8)
|
100% |
4555
5.99 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1112
39.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1012
36.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1011
36.1 IPS |
|
|
Text Classification (F32)
|
100% |
58
83.0 IPS |
|
|
Text Classification (F16)
|
100% |
184
263.8 IPS |
|
|
Text Classification (I8)
|
96% |
196
282.4 IPS |
|
|
Machine Translation (F32)
|
100% |
297
5.47 IPS |
|
|
Machine Translation (F16)
|
100% |
238
4.39 IPS |
|
|
Machine Translation (I8)
|
99% |
274
5.05 IPS |
