iPhone18,2
Geekbench AI Score
5186
Single Precision Score
8449
Half Precision Score
6693
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 02:17 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2330
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
3798
706.4 IPS |
|
|
Image Classification (Q)
|
96% |
2499
466.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3000
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3452
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10902
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19577
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16692
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4271
340.0 IPS |
|
|
Object Detection (Q)
|
94% |
2938
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
4666
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8565
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4583
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8541
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14469
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10289
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24986
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38913
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32035
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5645
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7019
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4988
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6159
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6111
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5338
92.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9342
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9261
160.0 IPS |
