iPhone18,2
Geekbench AI Score
5108
Single Precision Score
36553
Half Precision Score
50201
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | September 20 2025 03:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
16478
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
22536
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20251
328.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25845
419.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10004
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153479
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
297634
348.8 IPS |
|
|
Object Detection (SP)
|
100% |
2552
202.4 IPS |
|
|
Object Detection (HP)
|
100% |
17604
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25767
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4510
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
41218
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
52612
625.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8499
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105192
810.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
169783
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23853
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259523
333.6 IPS |
|
|
Style Transfer (Q)
|
96% |
352637
455.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5548
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56443
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87313
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3667
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6729
8.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6739
9.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5180
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11053
190.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12280
212.2 IPS |
