iPhone18,3
Geekbench AI Score
8045
Single Precision Score
15388
Half Precision Score
15329
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 19 2025 11:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
3631
675.2 IPS |
|
|
Image Classification (HP)
|
100% |
7305
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6567
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5069
82.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8777
142.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9060
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18435
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49785
58.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57729
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
3918
310.8 IPS |
|
|
Object Detection (HP)
|
100% |
7395
586.6 IPS |
|
|
Object Detection (Q)
|
93% |
6769
540.0 IPS |
|
|
Face Detection (SP)
|
100% |
9285
110.3 IPS |
|
|
Face Detection (HP)
|
100% |
19263
228.9 IPS |
|
|
Face Detection (Q)
|
100% |
14717
174.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15796
121.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33401
257.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
35184
274.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38915
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
90454
116.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106263
137.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9280
342.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18316
676.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19305
712.8 IPS |
|
|
Text Classification (SP)
|
100% |
3560
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6434
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6333
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4599
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4582
79.2 IPS |
