iPhone18,2
Geekbench AI Score
5014
Single Precision Score
8210
Half Precision Score
6510
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2216
412.2 IPS |
|
|
Image Classification (HP)
|
100% |
3673
683.1 IPS |
|
|
Image Classification (Q)
|
96% |
2446
456.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2955
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9684
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18247
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15411
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2411
191.2 IPS |
|
|
Object Detection (HP)
|
97% |
4004
318.7 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
4387
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
8140
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
4190
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8332
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13827
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9727
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24052
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37737
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30594
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5546
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6981
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4992
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6410
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6537
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5308
91.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9234
159.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9538
164.8 IPS |
