iPhone18,3
Geekbench AI Score
8045
Single Precision Score
15343
Half Precision Score
15355
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 02:01 AM |
| Views | 4 |
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 | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3641
677.2 IPS |
|
|
Image Classification (HP)
|
100% |
7320
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6657
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5062
82.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8773
142.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9040
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18111
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49234
57.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
57731
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
3933
312.0 IPS |
|
|
Object Detection (HP)
|
100% |
7417
588.3 IPS |
|
|
Object Detection (Q)
|
93% |
6819
544.0 IPS |
|
|
Face Detection (SP)
|
100% |
9427
112.0 IPS |
|
|
Face Detection (HP)
|
100% |
19305
229.4 IPS |
|
|
Face Detection (Q)
|
100% |
14742
175.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15840
122.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33528
258.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
35348
276.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38667
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
89817
115.5 IPS |
|
|
Style Transfer (Q)
|
96% |
105790
136.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9292
343.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18347
677.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19506
720.3 IPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6304
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6241
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4556
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4587
79.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4585
79.2 IPS |
