iPhone18,3
Geekbench AI Score
4645
Single Precision Score
35480
Half Precision Score
47953
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 12:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2198
408.8 IPS |
|
|
Image Classification (HP)
|
100% |
15843
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
21178
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18880
306.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24140
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9377
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
159176
185.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
299275
350.8 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
17188
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
24200
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
3744
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
38930
462.6 IPS |
|
|
Face Detection (Q)
|
100% |
50271
597.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8230
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
102104
786.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161001
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22123
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
253061
325.3 IPS |
|
|
Style Transfer (Q)
|
96% |
345572
445.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5448
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56063
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85300
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6485
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6327
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4030
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10564
182.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11505
198.8 IPS |
