iPhone18,2
Geekbench AI Score
5163
Single Precision Score
36181
Half Precision Score
49181
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Swanne |
| Upload Date | October 26 2025 08:14 PM |
| Views | 22 |
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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2362
439.2 IPS |
|
|
Image Classification (HP)
|
100% |
16165
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21682
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20191
327.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25774
417.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10186
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
155799
181.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
285308
334.4 IPS |
|
|
Object Detection (SP)
|
100% |
2638
209.3 IPS |
|
|
Object Detection (HP)
|
100% |
17869
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25279
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4599
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
40911
486.1 IPS |
|
|
Face Detection (Q)
|
100% |
51413
610.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8476
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105093
809.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167959
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24873
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259005
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
353238
455.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5573
205.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55674
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85220
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3565
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6121
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6445
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5267
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11149
192.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12261
211.9 IPS |
