iPhone18,2
Geekbench AI Score
5162
Single Precision Score
8351
Half Precision Score
6607
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:20 AM |
| Views | 5 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
432.9 IPS |
|
|
Image Classification (HP)
|
100% |
3756
698.5 IPS |
|
|
Image Classification (Q)
|
96% |
2472
461.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3021
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3440
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10936
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19131
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16752
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
97% |
4168
331.8 IPS |
|
|
Object Detection (Q)
|
94% |
2865
228.4 IPS |
|
|
Face Detection (SP)
|
100% |
4633
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
8545
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4447
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8450
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14307
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9973
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24756
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37858
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31459
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5532
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7052
260.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5039
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6023
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6109
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5333
91.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9282
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9049
156.4 IPS |
