iPhone18,2
Geekbench AI Score
5162
Single Precision Score
36319
Half Precision Score
49468
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | November 10 2025 07:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2362
439.3 IPS |
|
|
Image Classification (HP)
|
100% |
16114
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22175
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20161
326.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24713
400.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9941
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
150948
176.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294500
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (HP)
|
100% |
17242
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25972
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4599
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
41132
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
51073
606.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8528
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104502
805.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
173511
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24885
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
257871
331.5 IPS |
|
|
Style Transfer (Q)
|
96% |
352537
454.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58614
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86817
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6661
8.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6397
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5314
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10914
188.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12066
208.5 IPS |
