iPhone18,1
Geekbench AI Score
5017
Single Precision Score
8217
Half Precision Score
6463
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | October 05 2025 12:45 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (HP)
|
100% |
3690
686.3 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2974
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3357
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9802
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17975
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15296
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.3 IPS |
|
|
Object Detection (HP)
|
97% |
4051
322.5 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4377
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
8010
95.2 IPS |
|
|
Face Detection (Q)
|
100% |
4019
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8321
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13869
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9728
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23959
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37773
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30760
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5548
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6990
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5005
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6465
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6577
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5173
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9266
160.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9335
161.3 IPS |
