iPhone18,3
Geekbench AI Score
4529
Single Precision Score
35431
Half Precision Score
48931
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | yusryprince |
| Upload Date | November 12 2025 10:27 AM |
| Views | 3 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2180
405.5 IPS |
|
|
Image Classification (HP)
|
100% |
15812
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
22333
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1847
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19169
310.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23683
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8482
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
151744
177.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
285472
334.6 IPS |
|
|
Object Detection (SP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (HP)
|
100% |
17457
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24696
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
3607
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
39636
471.0 IPS |
|
|
Face Detection (Q)
|
100% |
53216
632.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8096
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101181
779.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170222
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
20589
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
249306
320.5 IPS |
|
|
Style Transfer (Q)
|
96% |
344288
444.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5035
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55115
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84305
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
6547
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6628
8.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3984
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10764
185.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12108
209.2 IPS |
