iPhone 16 Pro Max
Geekbench AI Score
4516
Single Precision Score
32936
Half Precision Score
43498
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | BananeGHG |
| Upload Date | May 02 2025 08:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
15230
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20110
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18246
295.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23936
388.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8837
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
152072
177.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
291085
341.2 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
100% |
16117
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22325
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3819
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
41108
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
57878
687.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7911
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94395
727.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159310
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19017
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244417
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
303539
391.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5231
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50222
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83747
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4673
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3069
4.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4185
72.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9910
170.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10778
186.3 IPS |
