iPhone18,2
Geekbench AI Score
9094
Single Precision Score
16904
Half Precision Score
17491
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 27 2025 09:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4284
796.6 IPS |
|
|
Image Classification (HP)
|
100% |
8061
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7412
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6092
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9581
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10535
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20363
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53964
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58923
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
8074
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8033
640.9 IPS |
|
|
Face Detection (SP)
|
100% |
11869
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
23129
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17955
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18025
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35527
273.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38893
303.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43387
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96092
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120348
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10407
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18983
700.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22440
828.6 IPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6446
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6433
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4868
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5861
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5979
103.3 IPS |
