iPhone 16 Pro Max
Geekbench AI Score
4730
Single Precision Score
32963
Half Precision Score
45665
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 11:28 AM |
| 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% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
15113
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20136
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18196
295.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24079
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9635
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153784
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292733
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (HP)
|
100% |
16158
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22464
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3960
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
41073
488.0 IPS |
|
|
Face Detection (Q)
|
100% |
57307
680.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8371
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95057
732.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159903
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21396
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
246336
316.7 IPS |
|
|
Style Transfer (Q)
|
96% |
307398
396.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5859
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50454
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86330
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4548
6.07 KIPS |
|
|
Text Classification (Q)
|
93% |
4679
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4267
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10043
173.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10871
187.9 IPS |
