iPhone18,2
Geekbench AI Score
5103
Single Precision Score
36286
Half Precision Score
49057
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 02:25 PM |
| 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% |
2346
436.2 IPS |
|
|
Image Classification (HP)
|
100% |
16085
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22025
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20296
329.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25694
416.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9965
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
156687
182.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294969
345.7 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
100% |
17488
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25186
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4574
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
41167
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
50856
604.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8480
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104339
803.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
161728
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24022
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
256399
329.6 IPS |
|
|
Style Transfer (Q)
|
96% |
350263
452.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5379
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56707
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84590
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6453
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6446
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5324
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10977
189.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12224
211.2 IPS |
