iPhone18,2
Geekbench AI Score
4730
Single Precision Score
35657
Half Precision Score
48905
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Outrun9430 |
| Upload Date | October 05 2025 04:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2291
426.1 IPS |
|
|
Image Classification (HP)
|
100% |
16170
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21745
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19665
318.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23613
382.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8071
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
137998
161.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
265976
311.7 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
17903
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26125
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
40531
481.6 IPS |
|
|
Face Detection (Q)
|
100% |
59145
702.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7932
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
102331
788.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
161234
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23140
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
256296
329.5 IPS |
|
|
Style Transfer (Q)
|
96% |
348116
449.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5280
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54876
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83174
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3505
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6506
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6466
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4633
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11145
192.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12288
212.4 IPS |
