iPhone 16 Pro Max
Geekbench AI Score
4392
Single Precision Score
32951
Half Precision Score
45938
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | attibug |
| Upload Date | March 09 2025 12:27 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1967
365.8 IPS |
|
|
Image Classification (HP)
|
100% |
15345
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
21225
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18306
296.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23961
388.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8101
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
152006
177.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293055
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2127
168.7 IPS |
|
|
Object Detection (HP)
|
100% |
16456
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22816
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3340
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
41201
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
58822
698.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7540
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95233
733.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160042
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22975
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245946
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
303131
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5539
204.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50735
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83287
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4589
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4583
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3776
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9560
164.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11301
195.3 IPS |
