iPhone18,3
Geekbench AI Score
4742
Single Precision Score
7949
Half Precision Score
6367
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 08:31 AM |
| 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% |
2180
405.5 IPS |
|
|
Image Classification (HP)
|
100% |
3552
660.6 IPS |
|
|
Image Classification (Q)
|
96% |
2395
447.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3337
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10129
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19655
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16599
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2514
199.4 IPS |
|
|
Object Detection (HP)
|
97% |
4082
324.9 IPS |
|
|
Object Detection (Q)
|
94% |
2826
225.3 IPS |
|
|
Face Detection (SP)
|
100% |
3714
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
7286
86.6 IPS |
|
|
Face Detection (Q)
|
100% |
4240
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8353
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14208
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10088
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22565
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39134
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32312
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5514
203.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6993
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5005
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
6205
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6174
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4243
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6823
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6847
118.3 IPS |
