iPhone18,3
Geekbench AI Score
6650
Single Precision Score
12514
Half Precision Score
13001
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jkochar |
| Upload Date | October 05 2025 12:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3619
673.0 IPS |
|
|
Image Classification (HP)
|
100% |
6890
1.28 KIPS |
|
|
Image Classification (Q)
|
97% |
6085
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4866
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8025
130.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8963
145.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12664
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
36077
42.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
47082
55.2 IPS |
|
|
Object Detection (SP)
|
100% |
2743
217.6 IPS |
|
|
Object Detection (HP)
|
100% |
5948
471.8 IPS |
|
|
Object Detection (Q)
|
93% |
6439
513.7 IPS |
|
|
Face Detection (SP)
|
100% |
7769
92.3 IPS |
|
|
Face Detection (HP)
|
100% |
16046
190.7 IPS |
|
|
Face Detection (Q)
|
100% |
14165
168.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12482
96.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29486
227.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
33659
262.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29499
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52933
68.0 IPS |
|
|
Style Transfer (Q)
|
96% |
73553
94.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7162
264.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13515
499.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15445
570.3 IPS |
|
|
Text Classification (SP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6412
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4278
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3785
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3660
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3602
62.3 IPS |
