iPhone18,3
Geekbench AI Score
4672
Single Precision Score
7872
Half Precision Score
6230
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 03:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2206
410.2 IPS |
|
|
Image Classification (HP)
|
100% |
3494
649.9 IPS |
|
|
Image Classification (Q)
|
96% |
2379
444.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3324
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8985
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18626
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15956
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2518
199.7 IPS |
|
|
Object Detection (HP)
|
97% |
4049
322.4 IPS |
|
|
Object Detection (Q)
|
94% |
2750
219.2 IPS |
|
|
Face Detection (SP)
|
100% |
3704
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
7104
84.4 IPS |
|
|
Face Detection (Q)
|
100% |
4028
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8184
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13944
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9815
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21793
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38195
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31156
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5333
196.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6900
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4984
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6516
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6106
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4269
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6939
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6773
117.0 IPS |
