iPhone18,3
Geekbench AI Score
4338
Single Precision Score
34810
Half Precision Score
47779
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 12:53 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2156
401.0 IPS |
|
|
Image Classification (HP)
|
100% |
16086
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22432
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18527
300.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22895
371.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7809
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
135289
157.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
275963
323.4 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
17307
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
23686
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
39170
465.4 IPS |
|
|
Face Detection (Q)
|
100% |
51432
611.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7880
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99627
767.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
159557
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20001
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
241377
310.3 IPS |
|
|
Style Transfer (Q)
|
96% |
338803
437.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4797
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57359
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83352
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6417
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6439
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3987
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10798
186.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12378
213.9 IPS |
