iPhone 17 Pro Max iPhone18,2
Geekbench AI Score
5133
Single Precision Score
8386
Half Precision Score
6558
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | vtomi07 |
| Upload Date | September 24 2025 09:49 PM |
| Views | 6 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2338
434.8 IPS |
|
|
Image Classification (HP)
|
100% |
3724
692.6 IPS |
|
|
Image Classification (Q)
|
96% |
2493
465.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3004
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3430
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10315
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19014
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16238
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.5 IPS |
|
|
Object Detection (HP)
|
97% |
4154
330.7 IPS |
|
|
Object Detection (Q)
|
94% |
2825
225.2 IPS |
|
|
Face Detection (SP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8415
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
4338
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8513
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14362
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10081
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24842
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38602
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31571
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5644
208.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6999
258.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5018
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6034
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5232
90.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9881
170.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9277
160.3 IPS |
