iPhone 16 Pro Max
Geekbench AI Score
4690
Single Precision Score
33431
Half Precision Score
44552
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Jasin55 |
| Upload Date | July 31 2025 09:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
13959
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
16964
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18096
293.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23445
380.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9724
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
151928
177.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
289228
339.0 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (HP)
|
100% |
15569
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
20997
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3690
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
39065
464.2 IPS |
|
|
Face Detection (Q)
|
100% |
52783
627.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8338
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
93796
722.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
147443
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
23513
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244428
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
293242
378.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5673
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50148
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75750
2.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3666
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6030
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5980
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4133
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10778
185.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12340
213.3 IPS |
