iPhone18,2
Geekbench AI Score
5149
Single Precision Score
36110
Half Precision Score
49721
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:30 PM |
| Views | 2 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2372
441.2 IPS |
|
|
Image Classification (HP)
|
100% |
16104
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22124
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20180
327.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26074
422.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10118
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
160734
187.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
297748
349.0 IPS |
|
|
Object Detection (SP)
|
100% |
2634
209.0 IPS |
|
|
Object Detection (HP)
|
100% |
17841
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25062
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4695
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
40643
482.9 IPS |
|
|
Face Detection (Q)
|
100% |
56719
674.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8530
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104837
807.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
170816
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24843
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258996
332.9 IPS |
|
|
Style Transfer (Q)
|
96% |
350023
451.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5661
209.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56204
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84571
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5949
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
6026
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10962
188.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12413
214.5 IPS |
