iPhone18,1
Geekbench AI Score
5074
Single Precision Score
36458
Half Precision Score
49258
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 05:09 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% |
2307
429.1 IPS |
|
|
Image Classification (HP)
|
100% |
16503
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
21605
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20253
328.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25075
406.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9884
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
157009
183.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293762
344.3 IPS |
|
|
Object Detection (SP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (HP)
|
100% |
17522
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25163
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4545
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
41198
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
51592
613.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8353
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104523
805.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
169945
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24010
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258451
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351901
454.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5369
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57645
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85712
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6360
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6344
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5260
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11060
190.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12517
216.3 IPS |
