iPhone18,3
Geekbench AI Score
7959
Single Precision Score
15127
Half Precision Score
15261
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 01:17 AM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3639
676.8 IPS |
|
|
Image Classification (HP)
|
100% |
7216
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6509
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5021
81.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8719
141.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9011
146.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18154
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
49781
58.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57902
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
3920
311.0 IPS |
|
|
Object Detection (HP)
|
100% |
6841
542.6 IPS |
|
|
Object Detection (Q)
|
93% |
6740
537.7 IPS |
|
|
Face Detection (SP)
|
100% |
9072
107.8 IPS |
|
|
Face Detection (HP)
|
100% |
18673
221.9 IPS |
|
|
Face Detection (Q)
|
100% |
14465
171.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15734
121.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33401
257.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
34929
272.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38664
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
90175
115.9 IPS |
|
|
Style Transfer (Q)
|
96% |
106088
136.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9217
340.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18297
675.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19344
714.3 IPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6255
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6345
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4472
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4549
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4552
78.7 IPS |
