iPhone18,1
Geekbench AI Score
5129
Single Precision Score
8239
Half Precision Score
6527
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 19 2025 11:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2356
438.2 IPS |
|
|
Image Classification (HP)
|
100% |
3649
678.6 IPS |
|
|
Image Classification (Q)
|
96% |
2484
463.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2986
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3380
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10797
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19054
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16301
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2623
208.1 IPS |
|
|
Object Detection (HP)
|
97% |
4166
331.7 IPS |
|
|
Object Detection (Q)
|
94% |
2824
225.1 IPS |
|
|
Face Detection (SP)
|
100% |
4592
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
8378
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
4376
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8261
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14072
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10029
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24395
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37258
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30890
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5502
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6901
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4837
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6123
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6011
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5320
91.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8985
155.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9215
159.2 IPS |
