iPhone18,2
Geekbench AI Score
5199
Single Precision Score
8464
Half Precision Score
6706
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 10:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2333
433.8 IPS |
|
|
Image Classification (HP)
|
100% |
3769
700.9 IPS |
|
|
Image Classification (Q)
|
96% |
2485
464.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3071
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3475
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10643
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19617
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16784
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (HP)
|
97% |
4196
334.1 IPS |
|
|
Object Detection (Q)
|
94% |
2899
231.0 IPS |
|
|
Face Detection (SP)
|
100% |
4658
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8487
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4536
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8584
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14527
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10302
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25205
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39142
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32142
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5621
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7042
260.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5054
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6137
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6195
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5299
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9500
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9309
160.9 IPS |
