iPhone18,1
Geekbench AI Score
9101
Single Precision Score
16949
Half Precision Score
17530
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 05:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4288
797.5 IPS |
|
|
Image Classification (HP)
|
100% |
8132
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7448
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6078
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9549
154.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10582
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20280
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53937
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58809
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8078
644.4 IPS |
|
|
Face Detection (SP)
|
100% |
11861
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
23148
275.1 IPS |
|
|
Face Detection (Q)
|
100% |
17976
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17413
134.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
36173
278.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
39030
304.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43920
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96371
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120410
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18740
692.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22513
831.3 IPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6389
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6381
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4984
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5988
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6032
104.2 IPS |
