iPhone18,2
Geekbench AI Score
5058
Single Precision Score
36076
Half Precision Score
49430
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 08:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.15 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2206
410.2 IPS |
|
|
Image Classification (HP)
|
100% |
15678
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
21443
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20206
327.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26161
424.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10068
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
157097
183.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
295150
345.9 IPS |
|
|
Object Detection (SP)
|
100% |
2610
207.0 IPS |
|
|
Object Detection (HP)
|
100% |
17293
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24114
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4525
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
41912
498.0 IPS |
|
|
Face Detection (Q)
|
100% |
58844
699.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104677
806.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
167855
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24198
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258069
331.8 IPS |
|
|
Style Transfer (Q)
|
96% |
349595
451.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5414
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56227
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85825
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3464
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6360
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6109
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5238
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10719
184.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12049
208.2 IPS |
