iPhone18,1
Geekbench AI Score
5208
Single Precision Score
36135
Half Precision Score
48763
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 27 2025 10:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
16256
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22052
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20111
326.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25559
414.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10738
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
160500
187.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
296825
347.9 IPS |
|
|
Object Detection (SP)
|
100% |
2713
215.2 IPS |
|
|
Object Detection (HP)
|
100% |
17447
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25576
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4721
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
40614
482.6 IPS |
|
|
Face Detection (Q)
|
100% |
50463
599.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8549
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104446
804.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
165687
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25535
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
259291
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350165
451.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55927
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84765
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6246
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5902
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5225
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10793
185.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12131
209.6 IPS |
