iPhone 8
Geekbench ML Score
618
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 19 2026 02:32 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
187
34.9 IPS |
|
|
Image Classification (F16)
|
100% |
156
29.1 IPS |
|
|
Image Classification (I8)
|
99% |
154
28.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2376
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2640
3.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
2608
3.16 IPS |
|
|
Object Detection (F32)
|
100% |
306
22.9 IPS |
|
|
Object Detection (F16)
|
100% |
277
20.7 IPS |
|
|
Object Detection (I8)
|
97% |
278
20.8 IPS |
|
|
Face Detection (F32)
|
100% |
972
11.6 IPS |
|
|
Face Detection (F16)
|
100% |
950
11.3 IPS |
|
|
Face Detection (I8)
|
99% |
981
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2186
17.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2425
18.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2329
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4184
5.50 IPS |
|
|
Style Transfer (F16)
|
100% |
4605
6.06 IPS |
|
|
Style Transfer (I8)
|
100% |
4645
6.11 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
992
35.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1041
37.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1045
37.3 IPS |
|
|
Text Classification (F32)
|
100% |
49
70.7 IPS |
|
|
Text Classification (F16)
|
100% |
201
289.0 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.0 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.76 IPS |
|
|
Machine Translation (F16)
|
100% |
234
4.30 IPS |
|
|
Machine Translation (I8)
|
99% |
274
5.04 IPS |
