iPhone18,1
Geekbench AI Score
9086
Single Precision Score
16444
Half Precision Score
16999
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 01:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4293
798.4 IPS |
|
|
Image Classification (HP)
|
100% |
7989
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7649
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6061
98.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9515
154.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10511
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20277
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53938
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58442
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
8074
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8056
642.7 IPS |
|
|
Face Detection (SP)
|
100% |
11684
138.8 IPS |
|
|
Face Detection (HP)
|
100% |
23103
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17952
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17887
137.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35008
269.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38682
302.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43116
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96074
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120183
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10402
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18852
696.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22329
824.5 IPS |
|
|
Text Classification (SP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6343
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6096
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4975
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4700
81.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4686
81.0 IPS |
