iPhone18,3
Geekbench AI Score
4587
Single Precision Score
7715
Half Precision Score
6134
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 07:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2160
401.8 IPS |
|
|
Image Classification (HP)
|
100% |
3452
642.0 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3323
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9127
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17360
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15006
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2391
189.6 IPS |
|
|
Object Detection (HP)
|
97% |
3995
318.0 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
7199
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
3931
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8038
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13442
103.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9531
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21322
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36141
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29902
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5075
187.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6823
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4816
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6547
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6564
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4338
74.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6778
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6901
119.3 IPS |
