iPhone18,2
Geekbench AI Score
5105
Single Precision Score
35920
Half Precision Score
49053
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EPMandBI |
| Upload Date | November 01 2025 09:28 PM |
| Views | 6 |
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% |
2366
440.0 IPS |
|
|
Image Classification (HP)
|
100% |
16650
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
21977
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19692
319.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25692
416.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10161
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
155567
181.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
285413
334.5 IPS |
|
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (HP)
|
100% |
17233
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24839
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4513
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
40712
483.8 IPS |
|
|
Face Detection (Q)
|
100% |
55494
659.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8390
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
105128
809.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
165977
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24695
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
257922
331.6 IPS |
|
|
Style Transfer (Q)
|
96% |
350455
452.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5486
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56744
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85375
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5775
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5819
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5328
91.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11247
193.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12566
217.2 IPS |
