iPhone18,2
Geekbench AI Score
5057
Single Precision Score
36266
Half Precision Score
49232
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 27 2025 06:39 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% |
2357
438.3 IPS |
|
|
Image Classification (HP)
|
100% |
16298
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21460
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19952
323.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24858
403.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10461
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
160089
186.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
298970
350.4 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.2 IPS |
|
|
Object Detection (HP)
|
100% |
18193
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25199
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4567
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
41193
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
56506
671.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8573
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104519
805.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
165692
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25167
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
260644
335.1 IPS |
|
|
Style Transfer (Q)
|
96% |
350900
452.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5327
196.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55811
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87247
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6065
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6060
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5111
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10942
188.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11985
207.1 IPS |
