iPhone 16 Pro Max
Geekbench AI Score
4449
Single Precision Score
33034
Half Precision Score
46329
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 05 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 18.6.2 |
| 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% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
15409
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20308
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18348
297.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24249
393.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8289
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
146261
170.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
291387
341.5 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
16295
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22783
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3787
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
41178
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
56939
676.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7859
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94900
731.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161372
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
19014
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245531
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303890
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4980
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50075
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84298
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4624
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5096
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4172
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10338
178.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11617
200.8 IPS |
