iPhone18,1
Geekbench AI Score
5113
Single Precision Score
36023
Half Precision Score
49121
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 12:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2352
437.3 IPS |
|
|
Image Classification (HP)
|
100% |
16360
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
21956
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19665
318.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25524
413.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10566
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
159331
185.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
298845
350.3 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
100% |
17519
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24959
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4607
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
41003
487.2 IPS |
|
|
Face Detection (Q)
|
100% |
55308
657.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8329
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105286
811.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
163496
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24552
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258904
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
352290
454.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5561
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57215
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87867
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5849
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5062
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10956
188.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11940
206.3 IPS |
