iPhone18,2
Geekbench AI Score
5114
Single Precision Score
8281
Half Precision Score
6527
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2318
431.0 IPS |
|
|
Image Classification (HP)
|
100% |
3637
676.3 IPS |
|
|
Image Classification (Q)
|
96% |
2459
459.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3399
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10758
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18948
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16201
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
97% |
4117
327.8 IPS |
|
|
Object Detection (Q)
|
94% |
2840
226.4 IPS |
|
|
Face Detection (SP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8464
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4424
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8339
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14083
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9954
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24397
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37176
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30808
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5556
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6908
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4928
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6166
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5915
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5317
91.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9503
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9238
159.6 IPS |
