iPhone18,2
Geekbench AI Score
4977
Single Precision Score
36160
Half Precision Score
48821
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | October 13 2025 11:13 PM |
| Views | 4 |
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% |
2321
431.6 IPS |
|
|
Image Classification (HP)
|
100% |
16340
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
21820
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19881
322.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24102
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9573
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
148775
173.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
275433
322.8 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
17322
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25025
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4035
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
40886
485.8 IPS |
|
|
Face Detection (Q)
|
100% |
52689
626.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8346
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104789
807.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167324
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23901
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
257722
331.3 IPS |
|
|
Style Transfer (Q)
|
96% |
351368
453.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5421
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57886
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87501
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6454
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6384
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5203
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11068
190.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12265
212.0 IPS |
