iPhone18,3
Geekbench AI Score
4550
Single Precision Score
7702
Half Precision Score
6120
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 04:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2159
401.4 IPS |
|
|
Image Classification (HP)
|
100% |
3498
650.5 IPS |
|
|
Image Classification (Q)
|
96% |
2356
440.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3296
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9472
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17695
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15340
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.8 IPS |
|
|
Object Detection (HP)
|
97% |
3925
312.5 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3505
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
7051
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
3866
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7885
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13394
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9513
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20767
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36178
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29927
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5054
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6796
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4798
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6511
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6526
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4014
69.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6791
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6784
117.2 IPS |
