iPhone18,2
Geekbench AI Score
5072
Single Precision Score
8407
Half Precision Score
6574
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 09:52 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2355
437.9 IPS |
|
|
Image Classification (HP)
|
100% |
3755
698.3 IPS |
|
|
Image Classification (Q)
|
96% |
2470
461.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3424
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10507
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18549
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15625
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2538
201.4 IPS |
|
|
Object Detection (HP)
|
97% |
4177
332.5 IPS |
|
|
Object Detection (Q)
|
94% |
2791
222.5 IPS |
|
|
Face Detection (SP)
|
100% |
4170
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
8363
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
4334
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8273
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14185
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9863
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24129
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38089
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31160
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5581
206.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7029
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5009
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3547
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6742
9.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6550
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5236
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9362
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9364
161.8 IPS |
