iPhone 16 Pro Max
Geekbench AI Score
4657
Single Precision Score
33213
Half Precision Score
46551
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | David_Mac |
| Upload Date | June 12 2025 12:03 AM |
| Views | 9 |
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% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
15215
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20479
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18436
298.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24128
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9439
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153757
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292705
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2359
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
16288
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22836
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3926
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
41223
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
58415
694.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8291
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95115
732.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
159603
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20405
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245689
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301770
389.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5564
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51028
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85151
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4604
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5248
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4189
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10274
177.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11508
198.9 IPS |
