iPhone18,3
Geekbench AI Score
4470
Single Precision Score
35007
Half Precision Score
48437
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Frankie_V |
| Upload Date | October 21 2025 01:34 PM |
| Views | 3 |
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% |
2186
406.5 IPS |
|
|
Image Classification (HP)
|
100% |
15805
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
22267
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18558
300.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23234
376.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8353
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
147418
172.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
270880
317.5 IPS |
|
|
Object Detection (SP)
|
100% |
2400
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
17591
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
24910
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
3482
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
38860
461.7 IPS |
|
|
Face Detection (Q)
|
100% |
55987
665.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7892
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101057
778.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
165037
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
20327
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
238809
307.0 IPS |
|
|
Style Transfer (Q)
|
96% |
342437
441.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4957
183.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55888
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83686
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6355
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6332
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4053
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10913
188.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12146
209.9 IPS |
