iPhone18,1
Geekbench AI Score
5098
Single Precision Score
36239
Half Precision Score
49577
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:19 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2298
427.4 IPS |
|
|
Image Classification (HP)
|
100% |
16300
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21132
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20163
326.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25586
414.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10087
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
156033
182.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
297648
348.9 IPS |
|
|
Object Detection (SP)
|
100% |
2568
203.7 IPS |
|
|
Object Detection (HP)
|
100% |
17543
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25072
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4615
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
40691
483.5 IPS |
|
|
Face Detection (Q)
|
100% |
54880
652.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8353
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104943
808.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
175111
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
24522
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259845
334.0 IPS |
|
|
Style Transfer (Q)
|
96% |
352551
455.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5497
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56287
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85474
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6351
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6407
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5189
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10948
188.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11984
207.1 IPS |
