iPhone18,3
Geekbench AI Score
4545
Single Precision Score
7684
Half Precision Score
6097
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2178
405.0 IPS |
|
|
Image Classification (HP)
|
100% |
3521
654.8 IPS |
|
|
Image Classification (Q)
|
96% |
2372
443.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3293
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9264
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17786
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15047
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.3 IPS |
|
|
Object Detection (HP)
|
97% |
3925
312.5 IPS |
|
|
Object Detection (Q)
|
94% |
2629
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
3424
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
6950
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
3835
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8033
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13474
104.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9444
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21309
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36563
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30097
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5269
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6743
249.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4929
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6491
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6370
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3958
68.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6689
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6720
116.1 IPS |
