iPhone18,2
Geekbench AI Score
5117
Single Precision Score
8305
Half Precision Score
6587
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MarcusBenjamin |
| Upload Date | September 21 2025 09:07 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
3680
684.4 IPS |
|
|
Image Classification (Q)
|
96% |
2462
459.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3021
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3399
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10590
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18416
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16079
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2576
204.3 IPS |
|
|
Object Detection (HP)
|
97% |
4132
329.0 IPS |
|
|
Object Detection (Q)
|
94% |
2822
224.9 IPS |
|
|
Face Detection (SP)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
8326
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
4355
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14064
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9883
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24426
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37309
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30766
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5391
199.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7000
258.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4916
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
3547
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6490
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6608
8.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5190
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9303
160.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9417
162.7 IPS |
