iPhone18,2
Geekbench AI Score
5203
Single Precision Score
36161
Half Precision Score
49101
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MrSunamix |
| Upload Date | November 17 2025 08:28 PM |
| Views | 4 |
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% |
2369
440.6 IPS |
|
|
Image Classification (HP)
|
100% |
16397
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
21481
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19963
323.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25643
415.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10596
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
158903
185.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
297479
348.7 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
17735
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25219
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4657
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
41062
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
51199
608.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8576
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104608
805.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
176559
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25316
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259043
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351348
453.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57127
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85775
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6007
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6048
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5288
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10856
187.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11963
206.7 IPS |
