iPhone18,2
Geekbench AI Score
5097
Single Precision Score
8283
Half Precision Score
6583
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 10:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 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% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
3699
687.8 IPS |
|
|
Image Classification (Q)
|
96% |
2461
459.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2991
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3434
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10581
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18673
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15935
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
97% |
4117
327.8 IPS |
|
|
Object Detection (Q)
|
94% |
2843
226.6 IPS |
|
|
Face Detection (SP)
|
100% |
4492
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
8423
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
4367
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8352
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14143
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9914
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24387
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37515
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30844
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5420
200.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6851
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4942
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6186
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6364
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5288
91.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9443
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9513
164.4 IPS |
