iPhone18,3
Geekbench AI Score
4324
Single Precision Score
34850
Half Precision Score
47669
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EmilioDSin |
| Upload Date | September 26 2025 08:10 AM |
| Views | 7 |
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 | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
16465
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
21784
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18379
297.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22738
368.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7984
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
141053
164.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
263496
308.8 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.3 IPS |
|
|
Object Detection (HP)
|
100% |
17366
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24407
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
39611
470.7 IPS |
|
|
Face Detection (Q)
|
100% |
54965
653.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7816
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97997
755.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159205
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20127
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
241921
311.0 IPS |
|
|
Style Transfer (Q)
|
96% |
338296
436.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4873
179.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55317
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84754
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3578
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6292
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6296
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3926
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10909
187.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12040
208.1 IPS |
