iPhone18,1
Geekbench AI Score
9090
Single Precision Score
16489
Half Precision Score
17059
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4286
797.0 IPS |
|
|
Image Classification (HP)
|
100% |
7998
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7507
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6152
99.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9678
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10651
172.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20505
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54502
63.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59769
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
8113
643.6 IPS |
|
|
Object Detection (Q)
|
93% |
8073
644.0 IPS |
|
|
Face Detection (SP)
|
100% |
11949
142.0 IPS |
|
|
Face Detection (HP)
|
100% |
23198
275.6 IPS |
|
|
Face Detection (Q)
|
100% |
18082
214.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18172
140.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35656
274.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
39315
307.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44451
57.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96558
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
120161
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10446
385.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19323
713.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22512
831.3 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
6014
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6034
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4988
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4678
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4664
80.6 IPS |
