iPhone18,3
Geekbench AI Score
4577
Single Precision Score
35477
Half Precision Score
48709
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | HimenoSena |
| Upload Date | December 07 2025 06:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2133
396.6 IPS |
|
|
Image Classification (HP)
|
100% |
16214
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22597
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1848
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18979
307.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23350
378.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8613
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153249
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
281685
330.2 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
17352
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24991
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
38147
453.3 IPS |
|
|
Face Detection (Q)
|
100% |
53646
637.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8023
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101949
785.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
161683
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21608
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
249227
320.4 IPS |
|
|
Style Transfer (Q)
|
96% |
345309
445.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5128
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55457
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85753
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3611
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6516
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6535
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4209
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11021
189.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12060
208.4 IPS |
