iPhone18,2
Geekbench AI Score
5128
Single Precision Score
36125
Half Precision Score
48439
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | westward |
| Upload Date | December 23 2025 01:36 AM |
| Views | 9 |
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 | 3.87 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
16029
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
21216
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20538
332.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25692
416.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10653
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
159411
186.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
297644
348.9 IPS |
|
|
Object Detection (SP)
|
100% |
2616
207.5 IPS |
|
|
Object Detection (HP)
|
100% |
17401
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25876
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4593
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
41232
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
50411
599.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8413
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104246
803.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160719
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24770
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
259876
334.1 IPS |
|
|
Style Transfer (Q)
|
96% |
349329
450.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5473
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56972
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85289
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
6079
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5961
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5218
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10717
184.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11774
203.5 IPS |
