iPhone 16 Pro Max
Geekbench AI Score
4425
Single Precision Score
32898
Half Precision Score
45837
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 05:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
15431
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20869
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18318
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24189
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8282
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
142777
166.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291538
341.7 IPS |
|
|
Object Detection (SP)
|
100% |
2273
180.3 IPS |
|
|
Object Detection (HP)
|
100% |
16329
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22535
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3779
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
41227
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
56640
673.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7794
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94875
731.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159278
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
18051
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245137
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303827
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5070
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49581
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84872
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4597
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4539
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4200
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10312
177.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11692
202.1 IPS |
