iPhone18,3
Geekbench AI Score
4697
Single Precision Score
35247
Half Precision Score
48285
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | checcobai |
| Upload Date | September 27 2025 10:08 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2208
410.6 IPS |
|
|
Image Classification (HP)
|
100% |
15842
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
22348
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18930
306.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24099
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9001
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
158950
185.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292454
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2530
200.7 IPS |
|
|
Object Detection (HP)
|
100% |
17321
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24945
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
3781
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
38678
459.6 IPS |
|
|
Face Detection (Q)
|
100% |
49299
585.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8384
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101247
780.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
158151
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
22327
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
253629
326.0 IPS |
|
|
Style Transfer (Q)
|
96% |
345089
445.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5480
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56459
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87757
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5936
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6028
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4306
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10770
185.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12319
212.9 IPS |
