iPhone 17 Pro Max iPhone18,2
Geekbench AI Score
9153
Single Precision Score
17071
Half Precision Score
17626
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | WilliamTM |
| Upload Date | October 27 2025 10:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4316
802.6 IPS |
|
|
Image Classification (HP)
|
100% |
8056
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7455
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6145
99.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9678
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10620
172.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20482
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54583
63.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59908
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8120
644.1 IPS |
|
|
Object Detection (Q)
|
93% |
8129
648.5 IPS |
|
|
Face Detection (SP)
|
100% |
11821
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
23361
277.6 IPS |
|
|
Face Detection (Q)
|
100% |
18011
214.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18187
140.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35839
276.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
39587
309.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44029
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96749
124.4 IPS |
|
|
Style Transfer (Q)
|
96% |
120349
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10482
387.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19430
717.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22583
833.9 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6388
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6432
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4950
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6052
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6026
104.1 IPS |
