iPhone18,3
Geekbench AI Score
4673
Single Precision Score
7867
Half Precision Score
6225
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 22 2025 01:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2200
409.2 IPS |
|
|
Image Classification (HP)
|
100% |
3574
664.6 IPS |
|
|
Image Classification (Q)
|
96% |
2390
446.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1878
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3282
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9710
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18719
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15763
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
97% |
4072
324.1 IPS |
|
|
Object Detection (Q)
|
94% |
2798
223.0 IPS |
|
|
Face Detection (SP)
|
100% |
3595
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7301
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
4096
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8192
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13907
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9817
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22101
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38436
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31138
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5469
201.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6918
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4914
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6069
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5865
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4340
74.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7031
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7007
121.1 IPS |
