iPhone 8 Plus
Geekbench ML Score
637
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 03:42 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,2 |
| Motherboard | D21AP |
| 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 | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
182
34.1 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.5 IPS |
|
|
Image Classification (I8)
|
99% |
148
27.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2277
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
2601
3.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
2669
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
322
24.0 IPS |
|
|
Object Detection (F16)
|
100% |
306
22.8 IPS |
|
|
Object Detection (I8)
|
97% |
281
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
952
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
927
11.0 IPS |
|
|
Face Detection (I8)
|
99% |
1058
12.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2099
16.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2391
18.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2480
19.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4796
6.31 IPS |
|
|
Style Transfer (F16)
|
100% |
5063
6.66 IPS |
|
|
Style Transfer (I8)
|
100% |
4984
6.56 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1306
46.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1007
36.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1250
44.7 IPS |
|
|
Text Classification (F32)
|
100% |
48
69.6 IPS |
|
|
Text Classification (F16)
|
100% |
199
285.3 IPS |
|
|
Text Classification (I8)
|
96% |
199
285.8 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.77 IPS |
|
|
Machine Translation (F16)
|
100% |
242
4.45 IPS |
|
|
Machine Translation (I8)
|
99% |
313
5.76 IPS |
