iPhone18,2
Geekbench AI Score
5089
Single Precision Score
36184
Half Precision Score
49114
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 01:06 AM |
| Views | 1 |
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% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
16198
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22115
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19661
318.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24056
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9881
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153135
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
283125
331.8 IPS |
|
|
Object Detection (SP)
|
100% |
2550
202.2 IPS |
|
|
Object Detection (HP)
|
100% |
17570
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25562
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4473
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
40657
483.1 IPS |
|
|
Face Detection (Q)
|
100% |
52245
620.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8427
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104530
805.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
172130
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24178
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258630
332.5 IPS |
|
|
Style Transfer (Q)
|
96% |
350776
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5531
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56928
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84894
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6461
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6365
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11107
191.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12445
215.1 IPS |
