iPhone18,3
Geekbench AI Score
4626
Single Precision Score
35283
Half Precision Score
48290
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:59 PM |
| Views | 1 |
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% |
2203
409.7 IPS |
|
|
Image Classification (HP)
|
100% |
15770
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
20982
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18865
305.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24148
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8647
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153997
179.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
298842
350.3 IPS |
|
|
Object Detection (SP)
|
100% |
2498
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
17235
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24304
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
3650
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
39375
467.9 IPS |
|
|
Face Detection (Q)
|
100% |
49755
591.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8284
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101788
784.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162943
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21851
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
253136
325.4 IPS |
|
|
Style Transfer (Q)
|
96% |
345031
445.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5342
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55426
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85695
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6422
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6504
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4084
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10486
180.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12021
207.7 IPS |
