iPhone18,2
Geekbench AI Score
5006
Single Precision Score
36363
Half Precision Score
50137
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 18 2025 08:14 AM |
| Views | 10 |
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% |
2303
428.3 IPS |
|
|
Image Classification (HP)
|
100% |
16487
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
21554
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20000
324.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25468
412.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9960
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151893
177.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
291791
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
17580
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25058
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4348
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
40770
484.4 IPS |
|
|
Face Detection (Q)
|
100% |
56951
676.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8117
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104867
807.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
171740
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
23523
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
256977
330.3 IPS |
|
|
Style Transfer (Q)
|
96% |
353793
456.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5250
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58509
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88162
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6395
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6515
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5233
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11169
192.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12582
217.4 IPS |
