iPhone18,2
Geekbench AI Score
5147
Single Precision Score
36060
Half Precision Score
48665
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:13 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% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
16084
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
21067
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19836
321.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26055
422.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10676
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
159778
186.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
298601
350.0 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
17506
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25101
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4640
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
40995
487.1 IPS |
|
|
Face Detection (Q)
|
100% |
50972
605.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8629
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104295
803.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168191
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25151
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259290
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
351636
453.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5558
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56427
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86153
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
6107
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5827
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5266
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10907
187.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11966
206.8 IPS |
