iPhone18,2
Geekbench AI Score
5165
Single Precision Score
36469
Half Precision Score
49537
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 07:30 PM |
| Views | 1 |
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% |
2327
432.8 IPS |
|
|
Image Classification (HP)
|
100% |
16904
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
21573
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20161
326.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26045
422.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10488
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
160418
187.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297839
349.1 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.4 IPS |
|
|
Object Detection (HP)
|
100% |
17803
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25212
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4640
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
41192
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
58711
697.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8361
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105636
813.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169584
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24383
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
260012
334.2 IPS |
|
|
Style Transfer (Q)
|
96% |
352423
454.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5642
208.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57305
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85231
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6041
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5814
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5229
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10919
188.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12131
209.6 IPS |
