iPhone18,2
Geekbench AI Score
5157
Single Precision Score
8375
Half Precision Score
6597
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | obb1009 |
| Upload Date | October 07 2025 06:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2346
436.3 IPS |
|
|
Image Classification (HP)
|
100% |
3721
691.9 IPS |
|
|
Image Classification (Q)
|
96% |
2498
466.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3013
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3432
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10565
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18926
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16000
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2610
207.0 IPS |
|
|
Object Detection (HP)
|
97% |
4173
332.2 IPS |
|
|
Object Detection (Q)
|
94% |
2817
224.6 IPS |
|
|
Face Detection (SP)
|
100% |
4555
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
8391
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
4340
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8405
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14232
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9808
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24692
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38032
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31479
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5584
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6892
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6486
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6448
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5213
89.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9452
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9352
161.6 IPS |
