iPhone18,1
Geekbench AI Score
5244
Single Precision Score
8573
Half Precision Score
6710
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 12:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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
436.0 IPS |
|
|
Image Classification (HP)
|
100% |
3850
716.0 IPS |
|
|
Image Classification (Q)
|
96% |
2514
469.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3063
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3455
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11045
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20205
23.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17339
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
97% |
4232
336.9 IPS |
|
|
Object Detection (Q)
|
94% |
2933
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
4742
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8633
102.6 IPS |
|
|
Face Detection (Q)
|
100% |
4634
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8657
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14577
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10290
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25465
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39303
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32670
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5778
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7004
258.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5011
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6086
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5909
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5297
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
10092
174.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9082
156.9 IPS |
