iPhone18,2
Geekbench AI Score
5162
Single Precision Score
8305
Half Precision Score
6572
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | October 13 2025 11:08 PM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
3736
694.8 IPS |
|
|
Image Classification (Q)
|
96% |
2483
463.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3037
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10594
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19316
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16137
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.7 IPS |
|
|
Object Detection (HP)
|
97% |
4181
332.8 IPS |
|
|
Object Detection (Q)
|
94% |
2859
227.9 IPS |
|
|
Face Detection (SP)
|
100% |
4522
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8456
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4411
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8440
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14297
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10012
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24902
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37947
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31344
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5511
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6991
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3582
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6003
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6065
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5335
91.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8856
153.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9342
161.4 IPS |
