iPhone 16 Pro Max
Geekbench AI Score
4706
Single Precision Score
31566
Half Precision Score
44168
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 10:03 PM |
| Views | 1 |
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% |
2090
388.7 IPS |
|
|
Image Classification (HP)
|
100% |
15038
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
20249
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18331
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24147
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9495
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153560
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292187
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2391
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
16557
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22657
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
41178
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
57415
682.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8338
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94922
731.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159678
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20648
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245520
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303133
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5642
208.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50934
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83934
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2854
3.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3480
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4275
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10046
173.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10753
185.8 IPS |
