iPhone18,1
Geekbench AI Score
4904
Single Precision Score
36283
Half Precision Score
49423
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | November 18 2025 09:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2245
417.5 IPS |
|
|
Image Classification (HP)
|
100% |
16670
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
21690
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19604
317.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25475
413.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9687
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153789
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
297910
349.2 IPS |
|
|
Object Detection (SP)
|
100% |
2513
199.3 IPS |
|
|
Object Detection (HP)
|
100% |
17729
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
24951
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4349
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
41218
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
57863
687.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8285
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104121
802.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
171633
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24203
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258416
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
318839
411.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5242
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56508
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85611
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6528
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6454
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5052
87.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10847
186.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12102
209.1 IPS |
