iPhone18,3
Geekbench AI Score
4609
Single Precision Score
35130
Half Precision Score
48529
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:57 PM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (HP)
|
100% |
15788
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
22721
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1872
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18883
306.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24163
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9384
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
149234
174.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
277623
325.4 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
17289
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24536
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
38171
453.6 IPS |
|
|
Face Detection (Q)
|
100% |
49698
590.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8019
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98400
758.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164882
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
20948
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245794
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
345478
445.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5241
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55855
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85452
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6525
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6524
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4157
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11062
190.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12277
212.2 IPS |
