iPhone18,2
Geekbench AI Score
4754
Single Precision Score
7852
Half Precision Score
6070
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ChrisMunson |
| Upload Date | September 28 2025 02:16 AM |
| Views | 3 |
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 | 2.87 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2137
397.4 IPS |
|
|
Image Classification (HP)
|
100% |
3577
665.3 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2890
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8497
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
16484
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14311
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
97% |
3707
295.1 IPS |
|
|
Object Detection (Q)
|
94% |
2520
200.8 IPS |
|
|
Face Detection (SP)
|
100% |
4034
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7664
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
3900
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8029
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13375
103.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9211
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23224
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36110
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29426
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5323
196.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6785
250.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4818
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6786
9.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6724
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4974
85.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8651
149.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8685
150.1 IPS |
