iPhone18,2
Geekbench AI Score
5008
Single Precision Score
36335
Half Precision Score
49489
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 10:54 PM |
| Views | 1 |
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% |
2289
425.8 IPS |
|
|
Image Classification (HP)
|
100% |
16795
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
21844
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19834
321.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25561
414.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9507
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
149521
174.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
297442
348.6 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
17987
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
24960
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4343
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
40812
484.9 IPS |
|
|
Face Detection (Q)
|
100% |
53459
635.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8359
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105929
816.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
165214
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23771
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258922
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
351617
453.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5382
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55487
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87609
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6462
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6423
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5240
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11158
192.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12165
210.2 IPS |
