iPhone18,2
Geekbench AI Score
5153
Single Precision Score
36119
Half Precision Score
48962
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 27 2025 06:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
16198
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22625
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20413
330.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25652
415.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10604
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
160166
186.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
297479
348.7 IPS |
|
|
Object Detection (SP)
|
100% |
2642
209.5 IPS |
|
|
Object Detection (HP)
|
100% |
17562
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
26060
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4669
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
41006
487.2 IPS |
|
|
Face Detection (Q)
|
100% |
49981
593.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8588
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104751
807.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
161607
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24875
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259366
333.4 IPS |
|
|
Style Transfer (Q)
|
96% |
351609
453.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5667
209.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55106
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85564
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3173
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
6162
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5914
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5309
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10743
185.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12247
211.6 IPS |
