iPhone18,2
Geekbench AI Score
5122
Single Precision Score
8227
Half Precision Score
6464
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 16 2025 05:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2321
431.7 IPS |
|
|
Image Classification (HP)
|
100% |
3653
679.4 IPS |
|
|
Image Classification (Q)
|
96% |
2434
454.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3387
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10811
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18815
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16119
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
97% |
4068
323.9 IPS |
|
|
Object Detection (Q)
|
94% |
2837
226.1 IPS |
|
|
Face Detection (SP)
|
100% |
4546
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
8393
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
4337
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8344
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13992
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9699
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24175
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37175
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30469
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5542
204.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6899
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4864
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6014
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5936
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4981
85.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9371
161.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9132
157.8 IPS |
