iPhone18,2
Geekbench AI Score
5076
Single Precision Score
8346
Half Precision Score
6601
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | October 20 2025 03:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2319
431.2 IPS |
|
|
Image Classification (HP)
|
100% |
3722
692.2 IPS |
|
|
Image Classification (Q)
|
96% |
2465
460.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3026
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3419
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10278
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19116
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16172
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2542
201.7 IPS |
|
|
Object Detection (HP)
|
97% |
4165
331.6 IPS |
|
|
Object Detection (Q)
|
94% |
2866
228.5 IPS |
|
|
Face Detection (SP)
|
100% |
4592
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
8510
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4425
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8425
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14269
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10039
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24245
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37495
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31187
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5435
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7073
261.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5003
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6039
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6172
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5242
90.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9403
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9410
162.6 IPS |
