iPhone18,2
Geekbench AI Score
5108
Single Precision Score
36146
Half Precision Score
49131
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2320
431.4 IPS |
|
|
Image Classification (HP)
|
100% |
16513
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22075
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20149
326.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26007
421.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10471
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
160002
186.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
298026
349.3 IPS |
|
|
Object Detection (SP)
|
100% |
2621
207.9 IPS |
|
|
Object Detection (HP)
|
100% |
17518
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25418
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4634
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
41011
487.3 IPS |
|
|
Face Detection (Q)
|
100% |
54841
651.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8300
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105626
813.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162296
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24153
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259412
333.5 IPS |
|
|
Style Transfer (Q)
|
96% |
352964
455.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5592
206.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55332
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85679
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
6008
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5807
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5251
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10931
188.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12056
208.3 IPS |
