iPhone18,1
Geekbench AI Score
5077
Single Precision Score
8290
Half Precision Score
6522
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2322
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
3696
687.4 IPS |
|
|
Image Classification (Q)
|
96% |
2469
461.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3008
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3419
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10500
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18974
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16079
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2616
207.5 IPS |
|
|
Object Detection (HP)
|
97% |
4098
326.2 IPS |
|
|
Object Detection (Q)
|
94% |
2819
224.7 IPS |
|
|
Face Detection (SP)
|
100% |
4569
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8419
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
4380
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8339
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14182
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10006
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24037
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37737
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30941
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5397
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6958
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4950
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6042
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5264
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9363
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9302
160.7 IPS |
