iPhone 16 Pro Max
Geekbench AI Score
4508
Single Precision Score
32845
Half Precision Score
45347
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 04 2025 01:23 PM |
| Views | 1 |
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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
15376
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20673
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18187
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24209
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9139
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152793
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292881
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2260
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
16604
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22843
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
40883
485.8 IPS |
|
|
Face Detection (Q)
|
100% |
57675
685.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8051
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94762
730.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
162932
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
18931
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244452
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302142
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5080
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50375
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83214
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3375
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4387
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4344
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4124
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9843
169.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10702
185.0 IPS |
