iPhone 17 Pro Max iPhone18,2
Geekbench AI Score
5140
Single Precision Score
8392
Half Precision Score
6607
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | WilliamTM |
| Upload Date | October 27 2025 10:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2312
429.9 IPS |
|
|
Image Classification (HP)
|
100% |
3762
699.6 IPS |
|
|
Image Classification (Q)
|
96% |
2487
464.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2979
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3424
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10024
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19116
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16122
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.3 IPS |
|
|
Object Detection (HP)
|
97% |
4158
331.0 IPS |
|
|
Object Detection (Q)
|
94% |
2800
223.2 IPS |
|
|
Face Detection (SP)
|
100% |
4478
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
8397
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4312
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8430
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14283
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9888
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24641
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38697
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31757
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5621
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6994
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6431
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6426
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5446
93.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9323
161.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9499
164.2 IPS |
