iPhone 17 Pro Max iPhone18,2
Geekbench AI Score
9149
Single Precision Score
16528
Half Precision Score
17137
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | vtomi07 |
| Upload Date | September 24 2025 09:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4212
783.2 IPS |
|
|
Image Classification (HP)
|
100% |
8064
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7519
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6097
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9607
155.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10595
171.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20393
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53965
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59540
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8102
642.7 IPS |
|
|
Object Detection (Q)
|
93% |
8147
650.0 IPS |
|
|
Face Detection (SP)
|
100% |
11878
141.1 IPS |
|
|
Face Detection (HP)
|
100% |
23109
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17963
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18141
139.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35545
273.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38863
303.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43655
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96427
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120759
155.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10409
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19183
708.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22576
833.6 IPS |
|
|
Text Classification (SP)
|
100% |
3465
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6295
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6247
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5256
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4698
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4755
82.2 IPS |
