iPhone18,2
Geekbench AI Score
4968
Single Precision Score
36154
Half Precision Score
49516
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | iPhil |
| Upload Date | October 18 2025 02:21 PM |
| Views | 3 |
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% |
2312
430.0 IPS |
|
|
Image Classification (HP)
|
100% |
16113
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21268
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20076
325.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24942
404.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9778
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
148500
173.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
276339
323.9 IPS |
|
|
Object Detection (SP)
|
100% |
2494
197.8 IPS |
|
|
Object Detection (HP)
|
100% |
17393
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25484
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
40923
486.3 IPS |
|
|
Face Detection (Q)
|
100% |
57135
678.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8240
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104624
806.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
175550
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
23146
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
255474
328.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350772
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5319
196.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58000
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84901
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6330
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6449
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5028
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11374
195.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12313
212.8 IPS |
