iPhone18,1
Geekbench AI Score
5138
Single Precision Score
8340
Half Precision Score
6586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 03:05 PM |
| 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% |
2366
440.0 IPS |
|
|
Image Classification (HP)
|
100% |
3693
686.8 IPS |
|
|
Image Classification (Q)
|
96% |
2456
458.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3036
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3434
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10886
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19150
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16537
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2647
209.9 IPS |
|
|
Object Detection (HP)
|
97% |
4143
329.9 IPS |
|
|
Object Detection (Q)
|
94% |
2867
228.5 IPS |
|
|
Face Detection (SP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8473
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4415
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8388
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14137
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10067
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24273
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37658
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31083
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5465
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7075
261.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4959
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6138
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5923
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5283
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9349
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9464
163.6 IPS |
