iPhone18,2
Geekbench AI Score
5140
Single Precision Score
8406
Half Precision Score
6621
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:30 AM |
| Views | 3 |
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% |
2325
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
3737
695.0 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3074
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3409
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10262
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19028
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16433
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2609
207.0 IPS |
|
|
Object Detection (HP)
|
97% |
4169
331.9 IPS |
|
|
Object Detection (Q)
|
94% |
2838
226.2 IPS |
|
|
Face Detection (SP)
|
100% |
4590
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
8484
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4442
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8400
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14235
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9976
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24469
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37850
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31202
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5426
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6909
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4942
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6507
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6445
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5280
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9411
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9283
160.4 IPS |
