iPhone18,1
Geekbench AI Score
9070
Single Precision Score
16441
Half Precision Score
16902
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 22 2025 07:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4239
788.2 IPS |
|
|
Image Classification (HP)
|
100% |
7987
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7392
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6009
97.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9473
153.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10498
170.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20141
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53204
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57775
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
4373
346.9 IPS |
|
|
Object Detection (HP)
|
100% |
8090
641.7 IPS |
|
|
Object Detection (Q)
|
93% |
8039
641.3 IPS |
|
|
Face Detection (SP)
|
100% |
11531
137.0 IPS |
|
|
Face Detection (HP)
|
100% |
23045
273.8 IPS |
|
|
Face Detection (Q)
|
100% |
17556
208.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17821
137.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35262
271.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
37847
295.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43428
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
94256
121.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119060
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10403
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19090
704.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22220
820.5 IPS |
|
|
Text Classification (SP)
|
100% |
3462
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6333
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6315
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5229
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4787
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4756
82.2 IPS |
