iPhone18,1
Geekbench AI Score
5117
Single Precision Score
8311
Half Precision Score
6516
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 07:20 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2345
436.1 IPS |
|
|
Image Classification (HP)
|
100% |
3732
694.0 IPS |
|
|
Image Classification (Q)
|
96% |
2488
464.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3434
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10564
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19033
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16048
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2622
207.9 IPS |
|
|
Object Detection (HP)
|
97% |
4138
329.4 IPS |
|
|
Object Detection (Q)
|
94% |
2833
225.8 IPS |
|
|
Face Detection (SP)
|
100% |
4592
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
8292
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
4354
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8489
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14062
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9928
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24110
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38000
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31034
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5469
201.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6907
255.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4957
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6135
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6083
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5344
92.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9451
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8792
151.9 IPS |
