iPhone18,1
Geekbench AI Score
5003
Single Precision Score
8176
Half Precision Score
6370
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | billpugh |
| Upload Date | September 20 2025 11:31 AM |
| Views | 6 |
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 | 4.22 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2309
429.5 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.7 IPS |
|
|
Image Classification (Q)
|
96% |
2442
456.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3016
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9855
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17993
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14797
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
3976
316.5 IPS |
|
|
Object Detection (Q)
|
94% |
2565
204.5 IPS |
|
|
Face Detection (SP)
|
100% |
4217
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
8058
95.7 IPS |
|
|
Face Detection (Q)
|
100% |
4072
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8146
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13559
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9576
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23626
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37510
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30370
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5531
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6824
252.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4799
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3608
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6752
9.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6707
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5226
90.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8816
152.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9269
160.2 IPS |
