iPhone18,2
Geekbench AI Score
5062
Single Precision Score
36155
Half Precision Score
48843
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 04:24 AM |
| Views | 2 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
432.9 IPS |
|
|
Image Classification (HP)
|
100% |
16591
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
21602
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20083
325.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24879
403.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10182
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
155741
181.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
289261
339.0 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.8 IPS |
|
|
Object Detection (HP)
|
100% |
17328
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25384
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4596
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
40722
483.9 IPS |
|
|
Face Detection (Q)
|
100% |
53719
638.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105812
815.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
166161
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23822
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
257399
330.9 IPS |
|
|
Style Transfer (Q)
|
96% |
354048
456.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5392
199.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55937
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85926
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3248
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6260
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5199
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10930
188.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12318
212.9 IPS |
