iPhone18,2
Geekbench AI Score
5193
Single Precision Score
8416
Half Precision Score
6681
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 19 2025 11:41 PM |
| Views | 7 |
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% |
2357
438.4 IPS |
|
|
Image Classification (HP)
|
100% |
3766
700.3 IPS |
|
|
Image Classification (Q)
|
96% |
2511
468.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3085
50.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3469
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10723
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19253
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16542
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.8 IPS |
|
|
Object Detection (HP)
|
97% |
4146
330.0 IPS |
|
|
Object Detection (Q)
|
94% |
2897
230.9 IPS |
|
|
Face Detection (SP)
|
100% |
4665
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8502
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4318
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8609
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14379
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10206
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25033
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38896
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32026
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5704
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7035
259.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5018
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5994
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6287
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5279
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9595
165.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9544
164.9 IPS |
