iPhone18,1
Geekbench AI Score
5147
Single Precision Score
8322
Half Precision Score
6574
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 06:54 AM |
| Views | 2 |
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% |
2344
435.9 IPS |
|
|
Image Classification (HP)
|
100% |
3713
690.4 IPS |
|
|
Image Classification (Q)
|
96% |
2471
461.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2989
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3434
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10591
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19030
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16124
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.7 IPS |
|
|
Object Detection (HP)
|
97% |
4162
331.3 IPS |
|
|
Object Detection (Q)
|
94% |
2805
223.6 IPS |
|
|
Face Detection (SP)
|
100% |
4574
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8376
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
4342
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8455
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14214
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9951
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24330
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38316
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30962
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5605
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6912
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3515
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6159
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6187
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5201
89.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9334
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9526
164.6 IPS |
