iPhone18,1
Geekbench AI Score
5171
Single Precision Score
8483
Half Precision Score
6695
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DDriver |
| Upload Date | November 14 2025 06:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2331
433.5 IPS |
|
|
Image Classification (HP)
|
100% |
3748
697.1 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3025
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3479
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10801
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19310
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16449
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (HP)
|
97% |
4183
333.0 IPS |
|
|
Object Detection (Q)
|
94% |
2851
227.3 IPS |
|
|
Face Detection (SP)
|
100% |
4581
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
8508
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4405
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8516
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14270
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9997
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24915
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38813
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31781
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5576
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7019
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4960
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6441
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6706
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5061
87.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9897
171.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9549
165.0 IPS |
