iPhone18,2
Geekbench AI Score
5030
Single Precision Score
35741
Half Precision Score
48730
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 03:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2298
427.3 IPS |
|
|
Image Classification (HP)
|
100% |
15879
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
20701
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20131
326.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25541
414.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9761
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151600
176.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
295081
345.9 IPS |
|
|
Object Detection (SP)
|
100% |
2517
199.7 IPS |
|
|
Object Detection (HP)
|
100% |
17309
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24062
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4437
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
40955
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
55465
659.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8452
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104301
803.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
170591
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23689
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
258513
332.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350336
452.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5445
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54486
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83666
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6202
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6194
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5164
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10868
187.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11709
202.3 IPS |
