iPhone18,1
Geekbench AI Score
5106
Single Precision Score
8238
Half Precision Score
6493
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 11:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
3677
683.9 IPS |
|
|
Image Classification (Q)
|
96% |
2453
458.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3426
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10330
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18942
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16146
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.3 IPS |
|
|
Object Detection (HP)
|
97% |
4131
328.9 IPS |
|
|
Object Detection (Q)
|
94% |
2822
224.9 IPS |
|
|
Face Detection (SP)
|
100% |
4566
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8378
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
4330
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8338
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14005
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9880
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24200
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37484
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31036
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5431
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6764
249.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4845
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
5935
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5748
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5265
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9368
161.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9415
162.7 IPS |
