iPhone18,2
Geekbench AI Score
5072
Single Precision Score
36390
Half Precision Score
49638
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Next_Tremity |
| Upload Date | November 06 2025 09:38 PM |
| Views | 5 |
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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2309
429.3 IPS |
|
|
Image Classification (HP)
|
100% |
16623
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
21235
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20479
332.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24838
402.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10230
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
154837
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
297308
348.5 IPS |
|
|
Object Detection (SP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
17401
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25556
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4404
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
40904
486.0 IPS |
|
|
Face Detection (Q)
|
100% |
57045
677.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8183
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105511
812.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
165099
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24142
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259602
333.7 IPS |
|
|
Style Transfer (Q)
|
96% |
351077
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5494
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56379
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85129
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3525
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6457
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6447
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5192
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10888
187.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12489
215.8 IPS |
