iPhone 16 Pro Max
Geekbench AI Score
4600
Single Precision Score
33152
Half Precision Score
44266
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rbuj |
| Upload Date | April 15 2025 10:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
15135
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20557
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18159
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24134
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9029
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153214
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
291060
341.1 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
16288
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22373
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3868
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
41194
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
57433
682.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8160
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94652
729.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
158912
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
19987
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245248
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302215
390.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5487
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50565
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84070
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4834
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
3584
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4263
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10005
172.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10761
186.0 IPS |
