iPhone18,1
Geekbench AI Score
5116
Single Precision Score
36373
Half Precision Score
48837
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2335
434.3 IPS |
|
|
Image Classification (HP)
|
100% |
16442
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
21783
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20255
328.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25595
414.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10087
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
152822
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
284014
332.9 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.3 IPS |
|
|
Object Detection (HP)
|
100% |
17341
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25101
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
40938
486.4 IPS |
|
|
Face Detection (Q)
|
100% |
53386
634.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8439
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104558
805.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
159228
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
24485
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
256977
330.3 IPS |
|
|
Style Transfer (Q)
|
96% |
351786
454.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5444
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57869
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85177
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6462
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6305
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5285
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11166
192.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12093
209.0 IPS |
