iPhone18,3
Geekbench AI Score
4658
Single Precision Score
35196
Half Precision Score
47841
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 06:34 AM |
| Views | 1 |
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% |
2181
405.6 IPS |
|
|
Image Classification (HP)
|
100% |
15742
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22222
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18858
305.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24181
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9894
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
158016
184.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
298851
350.3 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
17399
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24436
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
39862
473.7 IPS |
|
|
Face Detection (Q)
|
100% |
50361
598.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8127
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101422
781.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
157994
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
21730
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
252359
324.4 IPS |
|
|
Style Transfer (Q)
|
96% |
344970
445.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5429
200.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56159
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86268
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5972
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5754
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4185
72.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10446
179.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11747
203.0 IPS |
