iPhone18,2
Geekbench AI Score
5086
Single Precision Score
8261
Half Precision Score
6473
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:13 PM |
| 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 | 4.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.9 IPS |
|
|
Image Classification (HP)
|
100% |
3639
676.7 IPS |
|
|
Image Classification (Q)
|
96% |
2413
450.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3085
50.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3429
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10313
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18069
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15533
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2526
200.4 IPS |
|
|
Object Detection (HP)
|
97% |
4059
323.2 IPS |
|
|
Object Detection (Q)
|
94% |
2727
217.4 IPS |
|
|
Face Detection (SP)
|
100% |
4345
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
8208
97.5 IPS |
|
|
Face Detection (Q)
|
100% |
4219
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14011
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9700
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24500
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37181
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30454
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5412
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7037
259.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4911
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
3550
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6397
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6371
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5264
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9341
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9456
163.4 IPS |
