iPhone18,2
Geekbench AI Score
5116
Single Precision Score
8313
Half Precision Score
6543
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 02:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2332
433.7 IPS |
|
|
Image Classification (HP)
|
100% |
3681
684.6 IPS |
|
|
Image Classification (Q)
|
96% |
2479
462.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2985
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3424
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10491
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18584
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16047
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2619
207.7 IPS |
|
|
Object Detection (HP)
|
97% |
4143
329.8 IPS |
|
|
Object Detection (Q)
|
94% |
2822
224.9 IPS |
|
|
Face Detection (SP)
|
100% |
4467
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8394
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
4321
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8369
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14061
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9909
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24381
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37377
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31093
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5394
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6778
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5004
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6611
8.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6019
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5165
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9431
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9334
161.3 IPS |
