iPhone18,2
Geekbench AI Score
5022
Single Precision Score
8224
Half Precision Score
6461
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 04:34 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 | 4.15 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2304
428.5 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.6 IPS |
|
|
Image Classification (Q)
|
96% |
2487
464.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2955
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3371
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10262
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18635
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15632
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2527
200.4 IPS |
|
|
Object Detection (HP)
|
97% |
4102
326.6 IPS |
|
|
Object Detection (Q)
|
94% |
2751
219.3 IPS |
|
|
Face Detection (SP)
|
100% |
4355
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
8266
98.2 IPS |
|
|
Face Detection (Q)
|
100% |
4232
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8176
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13761
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9662
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23802
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36658
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30197
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5384
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6879
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4809
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
3519
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6426
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6411
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5104
87.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9229
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9247
159.8 IPS |
