iPhone18,3
Geekbench AI Score
4623
Single Precision Score
35211
Half Precision Score
48359
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 01:15 AM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (HP)
|
100% |
15286
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
21761
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18881
306.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23843
386.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8452
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
150397
175.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
298770
350.2 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
17128
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
24175
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
3685
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
38527
457.8 IPS |
|
|
Face Detection (Q)
|
100% |
49647
589.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8253
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
102109
786.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167419
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21863
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
253032
325.3 IPS |
|
|
Style Transfer (Q)
|
96% |
345280
445.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5316
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55568
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84636
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3547
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6619
8.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6405
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4262
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10763
185.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11999
207.4 IPS |
