iPhone18,2
Geekbench AI Score
5148
Single Precision Score
36097
Half Precision Score
49098
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 30 2025 01:11 AM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2383
443.1 IPS |
|
|
Image Classification (HP)
|
100% |
16169
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22566
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19734
319.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26183
424.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10007
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
154085
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
284706
333.7 IPS |
|
|
Object Detection (SP)
|
100% |
2567
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
17276
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25294
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4544
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
41081
488.1 IPS |
|
|
Face Detection (Q)
|
100% |
49360
586.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8478
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104942
808.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162837
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24741
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
259636
333.8 IPS |
|
|
Style Transfer (Q)
|
96% |
354654
457.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5656
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56533
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84592
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3577
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6455
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6386
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5251
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10827
186.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12426
214.7 IPS |
