iPhone18,3
Geekbench AI Score
4698
Single Precision Score
7903
Half Precision Score
6323
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:13 PM |
| Views | 3 |
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% |
2209
410.8 IPS |
|
|
Image Classification (HP)
|
100% |
3570
664.0 IPS |
|
|
Image Classification (Q)
|
96% |
2406
449.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3302
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9791
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18974
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16292
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2506
198.8 IPS |
|
|
Object Detection (HP)
|
97% |
4065
323.6 IPS |
|
|
Object Detection (Q)
|
94% |
2801
223.2 IPS |
|
|
Face Detection (SP)
|
100% |
3744
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
7386
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4195
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8262
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13863
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9985
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22059
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38303
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31452
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5389
199.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4955
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
6183
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6177
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4320
74.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7033
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6995
120.9 IPS |
