iPhone18,1
Geekbench AI Score
9017
Single Precision Score
16964
Half Precision Score
17482
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 04 2025 10:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4030
749.5 IPS |
|
|
Image Classification (HP)
|
100% |
8098
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7550
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6051
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9533
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10528
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20329
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53969
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59149
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
4387
348.0 IPS |
|
|
Object Detection (HP)
|
100% |
8073
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8059
643.0 IPS |
|
|
Face Detection (SP)
|
100% |
11621
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
23128
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17935
213.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17940
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35323
272.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38405
299.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43575
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96220
123.7 IPS |
|
|
Style Transfer (Q)
|
96% |
120320
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10503
387.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19141
706.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22322
824.3 IPS |
|
|
Text Classification (SP)
|
100% |
3481
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6513
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6382
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4924
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5989
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5962
103.0 IPS |
