iPhone18,2
Geekbench AI Score
4964
Single Precision Score
36084
Half Precision Score
49599
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2325
432.4 IPS |
|
|
Image Classification (HP)
|
100% |
16763
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
22600
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19791
320.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25298
410.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9768
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
148573
173.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
275863
323.3 IPS |
|
|
Object Detection (SP)
|
100% |
2531
200.8 IPS |
|
|
Object Detection (HP)
|
100% |
17733
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25405
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4265
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
40436
480.5 IPS |
|
|
Face Detection (Q)
|
100% |
54334
645.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8315
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
103778
799.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168197
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23866
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
257630
331.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351045
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5334
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54671
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85475
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6415
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6559
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4713
81.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11295
194.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12504
216.1 IPS |
