iPhone18,3
Geekbench AI Score
7986
Single Precision Score
15253
Half Precision Score
15240
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 02:47 PM |
| Views | 2 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3620
673.3 IPS |
|
|
Image Classification (HP)
|
100% |
7227
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6500
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5031
81.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8734
141.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9018
146.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18179
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
49567
57.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
57628
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
3916
310.6 IPS |
|
|
Object Detection (HP)
|
100% |
7381
585.5 IPS |
|
|
Object Detection (Q)
|
93% |
6740
537.7 IPS |
|
|
Face Detection (SP)
|
100% |
9151
108.7 IPS |
|
|
Face Detection (HP)
|
100% |
18896
224.5 IPS |
|
|
Face Detection (Q)
|
100% |
14524
172.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15767
121.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
32969
254.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
34809
271.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38561
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
89462
115.0 IPS |
|
|
Style Transfer (Q)
|
96% |
105618
136.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9223
340.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18294
675.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19237
710.3 IPS |
|
|
Text Classification (SP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6320
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6338
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4548
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4561
78.8 IPS |
