iPhone 17 Pro Max iPhone18,2
Geekbench AI Score
5166
Single Precision Score
36044
Half Precision Score
48552
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | December 26 2025 10:30 PM |
| Views | 8 |
| Notes | 512GB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2368
440.4 IPS |
|
|
Image Classification (HP)
|
100% |
16199
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21451
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19806
321.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24885
403.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10193
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
158471
184.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
297104
348.2 IPS |
|
|
Object Detection (SP)
|
100% |
2640
209.4 IPS |
|
|
Object Detection (HP)
|
100% |
17521
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24993
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4634
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
41253
490.2 IPS |
|
|
Face Detection (Q)
|
100% |
50801
603.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104490
805.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
161544
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
25248
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259085
333.1 IPS |
|
|
Style Transfer (Q)
|
96% |
351262
453.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5687
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56767
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86886
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5950
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
6006
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5345
92.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11016
189.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12210
211.0 IPS |
