iPhone18,3
Geekbench AI Score
8033
Single Precision Score
15686
Half Precision Score
15581
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 02:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3652
679.2 IPS |
|
|
Image Classification (HP)
|
100% |
7166
1.33 KIPS |
|
|
Image Classification (Q)
|
97% |
6372
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5012
81.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8696
141.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9021
146.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18356
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
50682
59.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
58037
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
3930
311.8 IPS |
|
|
Object Detection (HP)
|
100% |
7431
589.4 IPS |
|
|
Object Detection (Q)
|
93% |
6756
538.9 IPS |
|
|
Face Detection (SP)
|
100% |
9239
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
18954
225.2 IPS |
|
|
Face Detection (Q)
|
100% |
14778
175.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15800
121.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34028
262.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
35070
273.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38608
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
90635
116.5 IPS |
|
|
Style Transfer (Q)
|
96% |
105749
136.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9231
340.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18592
686.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19592
723.5 IPS |
|
|
Text Classification (SP)
|
100% |
3602
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6447
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6398
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4524
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5485
94.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5446
94.1 IPS |
