iPhone18,3
Geekbench AI Score
4730
Single Precision Score
7943
Half Precision Score
6353
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 08:16 AM |
| Views | 5 |
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
409.1 IPS |
|
|
Image Classification (HP)
|
100% |
3588
667.2 IPS |
|
|
Image Classification (Q)
|
96% |
2395
447.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3366
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9834
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19194
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16258
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2499
198.2 IPS |
|
|
Object Detection (HP)
|
97% |
4078
324.6 IPS |
|
|
Object Detection (Q)
|
94% |
2829
225.5 IPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
7388
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4219
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14023
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10100
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22542
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38409
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31743
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5481
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6940
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4974
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6230
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6120
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4304
74.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6969
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7023
121.4 IPS |
