iPhone18,3
Geekbench AI Score
8062
Single Precision Score
15669
Half Precision Score
15665
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 12:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3663
681.2 IPS |
|
|
Image Classification (HP)
|
100% |
7276
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
6757
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5072
82.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8792
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9079
147.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18293
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
50034
58.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
57855
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
3936
312.2 IPS |
|
|
Object Detection (HP)
|
100% |
7431
589.4 IPS |
|
|
Object Detection (Q)
|
93% |
6819
544.0 IPS |
|
|
Face Detection (SP)
|
100% |
9486
112.7 IPS |
|
|
Face Detection (HP)
|
100% |
19491
231.6 IPS |
|
|
Face Detection (Q)
|
100% |
14856
176.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15843
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33897
261.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
35410
276.5 IPS |
|
|
Style Transfer (SP)
|
100% |
39101
50.3 IPS |
|
|
Style Transfer (HP)
|
100% |
90444
116.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106475
137.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9297
343.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18347
677.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19482
719.4 IPS |
|
|
Text Classification (SP)
|
100% |
3471
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6352
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6313
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4578
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5387
92.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5338
92.2 IPS |
