iPhone18,2
Geekbench AI Score
4911
Single Precision Score
8110
Half Precision Score
6322
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | obb1009 |
| Upload Date | September 24 2025 08:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2299
427.6 IPS |
|
|
Image Classification (HP)
|
100% |
3730
693.7 IPS |
|
|
Image Classification (Q)
|
96% |
2474
462.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2976
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3324
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9443
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17443
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14919
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
97% |
4019
319.9 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
4194
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
7870
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
3991
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8089
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13480
104.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9491
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23549
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36085
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30046
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6869
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4740
175.0 IPS |
|
|
Text Classification (SP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6598
8.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6425
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4674
80.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9120
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9184
158.7 IPS |
