iPhone 16 Pro Max
Geekbench AI Score
4608
Single Precision Score
32645
Half Precision Score
45051
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 01:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
15023
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
18876
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1899
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18162
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24048
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9390
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
155045
180.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
294536
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
2204
174.8 IPS |
|
|
Object Detection (HP)
|
100% |
16207
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22694
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3656
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
41181
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
58643
696.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8129
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95060
732.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159827
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24800
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
246210
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303242
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5787
213.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51616
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83886
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4315
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4226
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9340
160.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11267
194.7 IPS |
