iPhone18,2
Geekbench AI Score
5140
Single Precision Score
8395
Half Precision Score
6623
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 10:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2323
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
3756
698.5 IPS |
|
|
Image Classification (Q)
|
96% |
2493
465.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3006
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10432
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19057
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16222
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2588
205.3 IPS |
|
|
Object Detection (HP)
|
97% |
4168
331.8 IPS |
|
|
Object Detection (Q)
|
94% |
2831
225.7 IPS |
|
|
Face Detection (SP)
|
100% |
4488
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
8521
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4364
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8404
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14276
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10058
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24524
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37754
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31117
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5395
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6855
253.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4962
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6439
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6428
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5301
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9565
165.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9528
164.6 IPS |
