iPhone18,3
Geekbench AI Score
8072
Single Precision Score
15846
Half Precision Score
15702
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 07:51 PM |
| Views | 3 |
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% |
3684
685.1 IPS |
|
|
Image Classification (HP)
|
100% |
7369
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6615
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5064
82.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8778
142.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9068
147.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18454
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
51066
59.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
57964
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
3935
312.1 IPS |
|
|
Object Detection (HP)
|
100% |
7471
592.6 IPS |
|
|
Object Detection (Q)
|
93% |
6823
544.3 IPS |
|
|
Face Detection (SP)
|
100% |
9526
113.2 IPS |
|
|
Face Detection (HP)
|
100% |
19544
232.2 IPS |
|
|
Face Detection (Q)
|
100% |
14827
176.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15855
122.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
34094
262.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
35531
277.4 IPS |
|
|
Style Transfer (SP)
|
100% |
39112
50.3 IPS |
|
|
Style Transfer (HP)
|
100% |
91087
117.1 IPS |
|
|
Style Transfer (Q)
|
96% |
106435
137.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9326
344.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18490
682.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19653
725.7 IPS |
|
|
Text Classification (SP)
|
100% |
3462
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6526
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6411
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4550
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5524
95.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5439
94.0 IPS |
