iPhone18,1
Geekbench AI Score
5155
Single Precision Score
8382
Half Precision Score
6722
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 05:03 PM |
| Views | 3 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2313
430.2 IPS |
|
|
Image Classification (HP)
|
100% |
3730
693.7 IPS |
|
|
Image Classification (Q)
|
96% |
2490
465.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3064
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3449
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11060
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19324
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16653
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.6 IPS |
|
|
Object Detection (HP)
|
97% |
4205
334.8 IPS |
|
|
Object Detection (Q)
|
94% |
2887
230.1 IPS |
|
|
Face Detection (SP)
|
100% |
4651
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8545
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4568
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8401
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14312
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10091
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24266
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37463
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31186
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5569
205.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7044
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4960
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6053
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6597
8.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5364
92.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9438
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9699
167.6 IPS |
