iPhone18,2
Geekbench AI Score
5173
Single Precision Score
36295
Half Precision Score
49471
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 08:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2376
441.8 IPS |
|
|
Image Classification (HP)
|
100% |
16205
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22942
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19932
323.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25803
418.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10381
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
160259
187.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294722
345.4 IPS |
|
|
Object Detection (SP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (HP)
|
100% |
17917
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25582
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4678
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
40749
484.2 IPS |
|
|
Face Detection (Q)
|
100% |
50698
602.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8619
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104830
807.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
172019
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24315
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
258901
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
351232
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5606
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56525
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87240
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3343
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
6111
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6012
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5312
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11197
192.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12247
211.7 IPS |
