iPhone 16 Pro Max
Geekbench AI Score
5646
Single Precision Score
6646
Half Precision Score
6014
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | FidanKazan |
| Upload Date | February 02 2025 04:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2804
521.4 IPS |
|
|
Image Classification (HP)
|
100% |
2815
523.5 IPS |
|
|
Image Classification (Q)
|
97% |
2774
517.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4285
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4295
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15408
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16362
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15291
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3305
262.2 IPS |
|
|
Object Detection (HP)
|
100% |
3531
280.1 IPS |
|
|
Object Detection (Q)
|
91% |
3089
246.8 IPS |
|
|
Face Detection (SP)
|
100% |
7663
91.1 IPS |
|
|
Face Detection (HP)
|
100% |
10199
121.2 IPS |
|
|
Face Detection (Q)
|
100% |
7038
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13062
100.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14302
110.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12458
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32521
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38902
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36409
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7856
290.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8306
306.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6692
247.1 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5860
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
883
15.3 IPS |
