iPhone18,3
Geekbench AI Score
4651
Single Precision Score
35551
Half Precision Score
47732
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 10:04 PM |
| Views | 2 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2188
407.0 IPS |
|
|
Image Classification (HP)
|
100% |
15940
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
21699
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18884
306.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24184
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8802
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
158989
185.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
298668
350.1 IPS |
|
|
Object Detection (SP)
|
100% |
2513
199.3 IPS |
|
|
Object Detection (HP)
|
100% |
17257
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24346
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3677
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
39793
472.8 IPS |
|
|
Face Detection (Q)
|
100% |
47055
559.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8340
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
102135
786.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
161633
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22268
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
252549
324.7 IPS |
|
|
Style Transfer (Q)
|
96% |
345731
446.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5454
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56216
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86739
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3333
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
6338
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6027
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4275
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10678
183.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11706
202.3 IPS |
