iPhone18,2
Geekbench AI Score
5125
Single Precision Score
8242
Half Precision Score
6533
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 16 2025 05:24 AM |
| Views | 3 |
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 | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2330
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
3664
681.3 IPS |
|
|
Image Classification (Q)
|
96% |
2434
454.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3012
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3412
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10623
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19158
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16384
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
4088
325.4 IPS |
|
|
Object Detection (Q)
|
94% |
2821
224.8 IPS |
|
|
Face Detection (SP)
|
100% |
4571
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8379
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
4414
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8251
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13823
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9763
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23853
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36786
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30278
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5542
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6820
251.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4849
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6237
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6228
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5198
89.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9237
159.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9364
161.8 IPS |
