iPhone18,3
Geekbench AI Score
8060
Single Precision Score
15638
Half Precision Score
15649
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 06:37 AM |
| Views | 1 |
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% |
3649
678.5 IPS |
|
|
Image Classification (HP)
|
100% |
7373
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6591
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5070
82.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8776
142.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9048
146.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18495
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
49923
58.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57961
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
3931
311.8 IPS |
|
|
Object Detection (HP)
|
100% |
7407
587.5 IPS |
|
|
Object Detection (Q)
|
93% |
6819
544.0 IPS |
|
|
Face Detection (SP)
|
100% |
9369
111.3 IPS |
|
|
Face Detection (HP)
|
100% |
19291
229.2 IPS |
|
|
Face Detection (Q)
|
100% |
14732
175.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15855
122.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33590
258.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
35188
274.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38810
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
90471
116.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106201
137.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9306
343.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18356
677.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19561
722.3 IPS |
|
|
Text Classification (SP)
|
100% |
3515
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6284
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6413
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4565
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5408
93.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5414
93.6 IPS |
