iPhone18,2
Geekbench AI Score
5280
Single Precision Score
35661
Half Precision Score
47720
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 05:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
15783
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
21563
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20119
326.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24967
404.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11362
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
160481
187.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
297755
349.0 IPS |
|
|
Object Detection (SP)
|
100% |
2736
217.0 IPS |
|
|
Object Detection (HP)
|
100% |
17274
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24278
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
39892
474.0 IPS |
|
|
Face Detection (Q)
|
100% |
48749
579.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8693
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104086
801.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
165521
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
25703
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
258217
331.9 IPS |
|
|
Style Transfer (Q)
|
96% |
349127
450.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5848
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55688
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82200
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5941
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5329
91.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10654
183.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11595
200.4 IPS |
