iPhone18,2
Geekbench AI Score
5120
Single Precision Score
36136
Half Precision Score
48871
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | September 20 2025 06:39 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% |
2345
436.1 IPS |
|
|
Image Classification (HP)
|
100% |
16096
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22574
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20453
331.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25746
417.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10073
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
156986
183.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297981
349.3 IPS |
|
|
Object Detection (SP)
|
100% |
2603
206.5 IPS |
|
|
Object Detection (HP)
|
100% |
17383
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25352
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4639
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
40637
482.9 IPS |
|
|
Face Detection (Q)
|
100% |
49123
583.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8601
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105121
809.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
163507
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24789
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258377
332.1 IPS |
|
|
Style Transfer (Q)
|
96% |
350321
452.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5566
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57405
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84967
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6100
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6191
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5258
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10935
188.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11959
206.7 IPS |
