iPhone18,2
Geekbench AI Score
5108
Single Precision Score
36139
Half Precision Score
49517
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 06:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2337
434.5 IPS |
|
|
Image Classification (HP)
|
100% |
16022
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
21876
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20574
333.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26058
422.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10459
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
158628
185.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
295111
345.9 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
17892
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25200
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4372
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
40923
486.3 IPS |
|
|
Face Detection (Q)
|
100% |
56718
673.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8503
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104462
804.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162383
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24078
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259300
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350588
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5562
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56980
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87937
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
5883
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5883
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5308
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10933
188.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12517
216.3 IPS |
