iPhone18,2
Geekbench AI Score
5157
Single Precision Score
36172
Half Precision Score
49632
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | riotryan |
| Upload Date | December 04 2025 01:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2350
436.9 IPS |
|
|
Image Classification (HP)
|
100% |
16879
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
22127
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20483
332.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25958
420.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10738
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
159819
186.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
297721
348.9 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
17263
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25321
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4661
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
41229
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
57196
679.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8325
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104774
807.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
173712
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24545
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259188
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350201
451.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5526
204.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56308
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84984
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5896
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5832
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5272
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10817
186.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12149
210.0 IPS |
