iPhone18,2
Geekbench AI Score
5037
Single Precision Score
8255
Half Precision Score
6470
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KEN1959 |
| Upload Date | September 24 2025 06:56 AM |
| Views | 9 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.7 IPS |
|
|
Image Classification (HP)
|
100% |
3696
687.3 IPS |
|
|
Image Classification (Q)
|
96% |
2460
459.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2959
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3377
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10086
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18163
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15443
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2568
203.7 IPS |
|
|
Object Detection (HP)
|
97% |
4123
328.2 IPS |
|
|
Object Detection (Q)
|
94% |
2739
218.3 IPS |
|
|
Face Detection (SP)
|
100% |
4320
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
8215
97.6 IPS |
|
|
Face Detection (Q)
|
100% |
4164
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8202
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13890
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9712
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24184
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37351
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30848
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5323
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7012
258.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4878
180.1 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6376
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6339
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5274
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9423
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9487
163.9 IPS |
