iPhone18,2
Geekbench AI Score
5129
Single Precision Score
35761
Half Precision Score
48799
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | riotryan |
| Upload Date | October 31 2025 12:56 PM |
| Views | 2 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2349
436.9 IPS |
|
|
Image Classification (HP)
|
100% |
15998
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
21938
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20214
327.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25994
421.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10615
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
159638
186.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
297042
348.2 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
17241
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25528
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4680
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
40950
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
51924
617.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8352
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104480
805.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160179
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24193
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
259079
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351556
453.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5577
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55308
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87029
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5851
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5825
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5257
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10715
184.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11948
206.5 IPS |
