iPhone 16 Pro Max
Geekbench AI Score
4728
Single Precision Score
33358
Half Precision Score
46501
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ajmaus |
| Upload Date | June 07 2025 11:01 PM |
| Views | 5 |
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% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
15258
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
21129
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18151
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23746
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9678
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153996
179.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293035
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2371
188.1 IPS |
|
|
Object Detection (HP)
|
100% |
16297
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22665
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
41212
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
58129
690.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8458
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95775
737.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160679
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21299
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
246317
316.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302070
389.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51628
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84876
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4758
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5131
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4262
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10279
177.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11548
199.6 IPS |
