iPhone18,2
Geekbench AI Score
5012
Single Precision Score
8203
Half Precision Score
6427
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 27 2025 10:24 PM |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2301
427.9 IPS |
|
|
Image Classification (HP)
|
100% |
3672
682.8 IPS |
|
|
Image Classification (Q)
|
96% |
2451
457.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2957
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10199
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18609
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15594
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
4049
322.4 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4348
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
8158
96.9 IPS |
|
|
Face Detection (Q)
|
100% |
4138
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8258
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13762
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9635
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23850
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36660
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30187
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5330
196.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6914
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4906
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6404
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6384
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5149
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9259
160.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9231
159.5 IPS |
