iPhone18,2
Geekbench AI Score
9081
Single Precision Score
16911
Half Precision Score
17496
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | SpeedsterCamaro |
| Upload Date | December 07 2025 06:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4239
788.3 IPS |
|
|
Image Classification (HP)
|
100% |
8012
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7486
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6090
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9545
154.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10567
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20284
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53961
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58989
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8107
643.1 IPS |
|
|
Object Detection (Q)
|
93% |
8098
646.0 IPS |
|
|
Face Detection (SP)
|
100% |
11781
140.0 IPS |
|
|
Face Detection (HP)
|
100% |
23209
275.8 IPS |
|
|
Face Detection (Q)
|
100% |
17964
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17923
138.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35395
272.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38279
298.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43345
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96068
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119866
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10416
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18834
695.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22463
829.5 IPS |
|
|
Text Classification (SP)
|
100% |
3540
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6436
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6344
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4902
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5979
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6058
104.7 IPS |
